Articles | Volume 17, issue 10
https://doi.org/10.5194/essd-17-5377-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-5377-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data review article
| 
16 Oct 2025
Data review article |
| 16 Oct 2025
| 16 Oct 2025
State of Wildfires 2024–2025
Water and Climate Science, UK Centre for Ecology and Hydrology, Wallingford, OX10 8BB, UK
Chantelle Burton
CORRESPONDING AUTHOR
Hadley Centre, Met Office, Fitzroy Road, Exeter, EX1 3PB, UK
Francesca Di Giuseppe
CORRESPONDING AUTHOR
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, UK
Matthew W. Jones
CORRESPONDING AUTHOR
Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
Maria L. F. Barbosa
Water and Climate Science, UK Centre for Ecology and Hydrology, Wallingford, OX10 8BB, UK
Esther Brambleby
Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
Joe R. McNorton
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, UK
Zhongwei Liu
National Centre for Earth Observation, University of Leicester, Space Park Leicester, 92 Corporation Road, Space City, Leicester, LE4 5SP, UK
Anna S. I. Bradley
Hadley Centre, Met Office, Fitzroy Road, Exeter, EX1 3PB, UK
Katie Blackford
Water and Climate Science, UK Centre for Ecology and Hydrology, Wallingford, OX10 8BB, UK
Department of Life Sciences, Imperial College London, Chemistry Building CHEM062, South Kensington, London, SW7 2AZ, UK
Eleanor Burke
Hadley Centre, Met Office, Fitzroy Road, Exeter, EX1 3PB, UK
Andrew Ciavarella
Hadley Centre, Met Office, Fitzroy Road, Exeter, EX1 3PB, UK
Enza Di Tomaso
European Centre for Medium-Range Weather Forecasts, Robert-Schuman-Platz 3, 53175 Bonn, Germany
Jonathan Eden
Centre for Agroecology, Water and Resilience, Coventry University, Wolston Ln, Ryton-on-Dunsmore, Coventry, CV8 3LG, UK
Igor José M. Ferreira
Earth Observation and Geoinformatics, National Institute for Space Research (INPE), Astronautas Avenue 1758, São José dos Campos, 12227-010, Brazil
Lukas Fiedler
Institute of Oceanography, Center for Earth System Research and Sustainability, University of Hamburg, Bundesstraße 53, 20146 Hamburg, Germany
International Max Planck Research School on Earth System Modelling, Max Planck Institute for Meteorology, Bundesstraße 53, 20146 Hamburg, Germany
Andrew J. Hartley
Hadley Centre, Met Office, Fitzroy Road, Exeter, EX1 3PB, UK
Theodore R. Keeping
Centre for Environmental Policy, Imperial College London, Weeks Building, 16–18 Prince's Gardens, London, SW7 1NE, UK
Leverhulme Centre for Wildfires, Environment and Society, Imperial College London, South Kensington, London, SW7 2BW, UK
Seppe Lampe
Water and Climate, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
Anna Lombardi
European Centre for Medium-Range Weather Forecasts, Robert-Schuman-Platz 3, 53175 Bonn, Germany
Guilherme Mataveli
Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
Earth Observation and Geoinformatics, National Institute for Space Research (INPE), Astronautas Avenue 1758, São José dos Campos, 12227-010, Brazil
Yuquan Qu
Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1100, Amsterdam, 1081 HV, the Netherlands
Patrícia S. Silva
School of the Environment, Yale University, 195 Prospect St, New Haven, CT 06511, USA
Fiona R. Spuler
Department of Meteorology, University of Reading, Brian Hoskins Building, Whiteknights Road, Earley Gate, Reading, RG6 6ET, UK
The Alan Turing Institute, British Library, 96 Euston Rd., London, NW1 2DB, UK
Carmen B. Steinmann
Institute for Environmental Decisions, Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland
Federal Office of Meteorology and Climatology MeteoSwiss, Operation Center 1, P.O. Box 257, 8058 Zurich Airport, Switzerland
Miguel Ángel Torres-Vázquez
Environmental Remote Sensing Research Group, Department of Geology, Geography and Environment, Universidad de Alcalá, Calle Colegios 2, Alcalá de Henares 28801, Spain
Renata Veiga
Laboratory for Environmental Satellite Applications (LASA), Department of Meteorology, Federal University of Rio de Janeiro, 21941-916, Rio de Janeiro, RJ, Brazil
Dave van Wees
BeZero Carbon Ltd, 25 Christopher Street, London, EC2A 2BS, UK
Jakob B. Wessel
Department of Mathematics and Statistics, University of Exeter, Harrison Building, University of Exeter, North Park Road, EX4 4QF, Exeter, UK
Emily Wright
Hadley Centre, Met Office, Fitzroy Road, Exeter, EX1 3PB, UK
Bibiana Bilbao
Biology, Departamento de Estudios Ambientales, Universidad Simón Bolívar, Valle de Sartenejas, Aartado 89000, Caracas, Venezuela
UMR Art-Dev 5281, Université Paul Valéry Montpellier, Site Saint-Charles, France, UMR 5281, Site Saint-Charles 1, Rue du Professeur Henri Serre, 34090 Montpellier, France
Mathieu Bourbonnais
Earth, Environmental and Geographic Sciences, University of British Columbia – Okanagan, 1177 University Way, Kelowna, BC, V1V 1V7, Canada
Department of Geography, University of Hong Kong, 10F, The Jockey Club Tower, Centennial Campus, Pokfulam Road, Hong Kong SAR, China
Carlos M. Di Bella
Departamento de Métodos Cuantitativos y Sistemas de Información, University of Buenos Aires, Av. San Martin 4453 (1417), CABA, Argentina
IFEVA (Agricultural Physiology and Ecology Research Institute), Av. San Martin 4453 (1417), CABA, Argentina
Kebonye Dintwe
Department of Environmental Science, University of Botswana, Plot 4775 Notwane Rd, Gaborone, Botswana
Victoria M. Donovan
West Florida Research and Education Center, School of Forest, Fisheries, and Geomatics Sciences, University of Florida, 5988 Highway 90, Milton, FL 32583, USA
Sarah Harris
Fire Risk, Research and Community Preparedness, Country Fire Authority, Burwood East, Victoria, Australia
Elena A. Kukavskaya
Laboratory of Experimental and Applied Ecology, V.N. Sukachev Institute of Forest Siberian Branch of the Russian Academy of Sciences – separate subdivision of the FRC KSC SB RAS, 50/28 Akademgorodok, Krasnoyarsk, 660036, Russian Federation
Aya Brigitte N'Dri
Department of Natural Sciences, Nangui Abrogoua University, 02 BP 801 Abidjan 02, Côte d'Ivoire
Cristina Santín
Research Institute of Biodiversity (IMIB), CSIC-University of Oviedo-Principality of Asturias, IMIB, Research Building, Mieres Campus, Mieres, 33600 Spain
Biosciences, Swansea University, Wallace Building, Singleton Campus, Swansea, SA2 8PP, UK
Galia Selaya
Research and action, ECOSCONSULT, Calle Tte. H. Balcazar No. 24, Santa Cruz de la Sierra, Bolivia
Research, Fundacion Innova, Calle Tte. H. Balcazar No. 24, Santa Cruz de la Sierra, Bolivia
Johan Sjöström
Fire and Safety, RISE Research institutes of Sweden, Box 857, 51515 Borås, Sweden
John T. Abatzoglou
School of Engineering, University of California, Merced, 5200 N Lake Rd, Merced, CA 95343, USA
Niels Andela
BeZero Carbon Ltd, 25 Christopher Street, London, EC2A 2BS, UK
Rachel Carmenta
Tyndall Centre for Climate Change Research, School of Global Development, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
Emilio Chuvieco
Environmental Remote Sensing Research Group, Department of Geology, Geography and Environment, Universidad de Alcalá, Calle Colegios 2, Alcalá de Henares 28801, Spain
Louis Giglio
Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA
Douglas S. Hamilton
Marine, Earth, and Atmospheric Science, North Carolina State University, 2800 Faucette Drive, Raleigh, NC 27603, USA
Stijn Hantson
Program in Earth System Sciences, Faculty of Natural Sciences, Universidad del Rosario, Bogotá, Colombia
Sarah Meier
Land, Environment, Economics and Policy Institute (LEEP), Department of Economics, University of Exeter, Rennes Drive, Exeter, EX4 4ST, UK
Mark Parrington
European Centre for Medium-Range Weather Forecasts, Robert-Schuman-Platz 3, 53175 Bonn, Germany
Mojtaba Sadegh
Department of Civil Engineering, Boise State University, Boise, ID, USA
Jesus San-Miguel-Ayanz
Disaster Risk Management Unit (E.1), Directorate E (Space, Security, and Migration), European Commission Joint Research Centre, European Commission, Rue du Champ de Mars 21, 1050 Brussels, Belgium
Fernando Sedano
Disaster Risk Management Unit (E.1), Directorate E (Space, Security, and Migration), European Commission Joint Research Centre, European Commission, Rue du Champ de Mars 21, 1050 Brussels, Belgium
Marco Turco
Regional Atmospheric Modelling (MAR) Group, Regional Campus of International Excellence Campus Mare Nostrum (CEIR), Department of Geography, University of Hong Kong, Hong Kong SAR, China
Guido R. van der Werf
Meteorology and Air Quality, Wageningen University and Research, Droevendaalsesteeg 3-3 A, 6708 PB, Wageningen, the Netherlands
Sander Veraverbeke
Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1100, Amsterdam, 1081 HV, the Netherlands
Liana O. Anderson
Cemaden/MCTI, 500 – Distrito de Eugênio de Melo, São José dos Campos – São Paulo, Brazil
Hamish Clarke
FLARE Wildfire Research, School of Agriculture, Food and Ecosystem Sciences, University of Melbourne, Grattan St, Parkville, 3010, Australia
Paulo M. Fernandes
ForestWISE – Collaborative Laboratory for Integrated Forest and Fire Management, Centre for the Research and Technology of Agro-Environmental and Biological Sciences, Universidade de Trás-os-Montes e Alto Douro, Quinta de Prados, Vila Real, 5000-801, Portugal
Crystal A. Kolden
Wildfire Resilience Center, School of Engineering, University of California, 5200 N Lake Rd, Merced, CA 95343, USA
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Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-587, https://doi.org/10.5194/essd-2026-587, 2026
Preprint under review for ESSD
Short summary
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Matheus de Almeida, Charles M. Shobe, Duna C. Roda-Boluda, Loraine Gourbet, Amber Distelbrink, Sander Veraverbeke, and Benjamin Campforts
EGUsphere, https://doi.org/10.5194/egusphere-2026-3521, https://doi.org/10.5194/egusphere-2026-3521, 2026
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
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A. Park Williams, John T. Abatzoglou, Gavin D. Madakumbura, Haibo Liu, Stefan Rahimi, and Christopher Daly
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-391, https://doi.org/10.5194/essd-2026-391, 2026
Preprint under review for ESSD
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Jessica Stacey, Richard A. Betts, Andrew Hartley, Lina M. Mercado, and Nicola Gedney
Hydrol. Earth Syst. Sci., 30, 4225–4243, https://doi.org/10.5194/hess-30-4225-2026, https://doi.org/10.5194/hess-30-4225-2026, 2026
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Plants typically transpire less with rising atmospheric carbon dioxide, leaving more water in the ground for human use, but many future water scarcity assessments ignore this effect. We use a land surface model to examine how plant responses to carbon dioxide and climate change affect future water scarcity. Our results suggest that including these plant responses increases overall water availability for most people, highlighting the importance of their inclusion in future water scarcity studies.
Rebecca M. Varney, Daniel Hooke, Norman J. Steinert, T. Luke Smallman, Camilla Mathison, and Eleanor J. Burke
Earth Syst. Dynam., 17, 913–928, https://doi.org/10.5194/esd-17-913-2026, https://doi.org/10.5194/esd-17-913-2026, 2026
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The northern high latitudes mitigate climate change by land ecosystems absorbing more carbon from the atmosphere than they release. This carbon sink is sensitive to long-term CO2 emissions. Here, we use a probabilistic framework to quantify the timing and magnitude of a transition to a carbon source in different future emission scenarios, including overshoot. The fate of this region is dependent on the balance between carbon loss from permafrost and gain from increased vegetation productivity.
Rui Li, Haley E. Plaas, Yifan Zhang, Yizhu Chen, Tianyu Zhang, Yi Yang, Sagar Rathod, Guohua Zhang, Xinming Wang, Douglas S. Hamilton, and Mingjin Tang
Atmos. Chem. Phys., 26, 9037–9060, https://doi.org/10.5194/acp-26-9037-2026, https://doi.org/10.5194/acp-26-9037-2026, 2026
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This work measured solubility of aerosol Fe from several distinct anthropogenic sources, updated aerosol Fe solubility parameterizations used in the Community Earth System model, and found that residential burning is a significant source of soluble aerosol Fe to the ocean.
João C. M. Teixeira, Chantelle Burton, Douglas I. Kelley, Gerd A. Folberth, Fiona M. O'Connor, Richard A. Betts, and Apostolos Voulgarakis
Earth Syst. Dynam., 17, 739–767, https://doi.org/10.5194/esd-17-739-2026, https://doi.org/10.5194/esd-17-739-2026, 2026
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Burned area has declined globally since the late 1990s, especially in tropical savannas, yet many climate models miss this trend because they poorly represent human fire use and suppression. We tested whether adding a simple link to human development improves a fire model. This reduced large regional errors and better captured downward trends in several areas, though it increased global underestimation and reduced variability. Human influence is key, but simple assumptions have trade-offs.
Piers M. Forster, Tristram Walsh, Chris Smith, William F. Lamb, Robin Lamboll, Christophe Cassou, Mathias Hauser, Zeke Hausfather, June-Yi Lee, Matthew D. Palmer, Karina von Schuckmann, Aimée B. A. Slangen, Sophie Szopa, Blair Trewin, Jeongeun Yun, Nathan P. Gillett, Stuart Jenkins, H. Damon Matthews, Krishnan Raghavan, Aurélien Ribes, Joeri Rogelj, Debbie Rosen, Xuebin Zhang, Myles Allen, Robbie M. Andrew, Chris Atkinson, Richard A. Betts, Antonio Bombelli, Samantha N. Burgess, Lijing Cheng, Helen E. Claxton, Pierre Friedlingstein, Thomas L. Frölicher, Catia M. Domingues, Thomas Gasser, Catherine H. Gregory, Rachel M. Hoesly, Daniel Huppmann, Masayoshi Ishii, Christopher Kadow, Alexia Karwat, John Kennedy, Rachel E. Killick, Mahesh V. M. Kovilakam, Paul B. Krummel, Xin Lan, Jean-François Lamarque, Aurélien Liné, Belén Martín-Míguez, Didier P. Monselesan, Colin Morice, Jens Mühle, Pino Mussak, Glen P. Peters, Anna Pirani, Julia Pongratz, Matthew Rigby, Robert Rohde, Abhishek Savita, Sonia I. Seneviratne, Steven J. Smith, Ghassan Taha, Caterina Tassone, Peter Thorne, Christopher Wells, Luke M. Western, Guido R. van der Werf, Susan E. Wijffels, Marco Zecchetto, Junting Zhong, Xiao-Ye Zhang, Valérie Masson-Delmotte, and Panmao Zhai
Earth Syst. Sci. Data, 18, 3889–3933, https://doi.org/10.5194/essd-18-3889-2026, https://doi.org/10.5194/essd-18-3889-2026, 2026
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We give our annual update of key climate indicators. Our work quantifies the human contribution to global warming and the pace of climate change. This represents a large effort by the international community akin to an Intergovernmental Panel on Climate Change (IPCC) report.
Andreia F. S. Ribeiro, Maik Biling, Kirsten Thonicke, Werner von Bloh, Jakob Wessel, Sabine Undorf, Matthias Forkel, and Jakob Zscheischler
EGUsphere, https://doi.org/10.5194/egusphere-2026-2952, https://doi.org/10.5194/egusphere-2026-2952, 2026
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Wildfires are becoming more extreme, yet our state-of-the-art tools fail to capture the full risk. We simulate a large ensemble of wildfire simulations capturing a broader range of physically plausible extreme wildfire events beyond what observations alone can reveal. Extreme fire danger alone does not explain the worst impacts: ignitions, fuel and vegetation-fire feedback need to be incorporated. This modelling framework is transferable to other climate-impact sectors beyond wildfires.
Ni Li, Wim Thiery, Shorouq Zahra, Mariana Madruga de Brito, Koffi Worou, Murathan Kurfalı, Seppe Lampe, Paul Muñoz, Clare Flynn, Camila Trigoso, Joakim Nivre, Jakob Zscheischler, and Gabriele Messori
Nat. Hazards Earth Syst. Sci., 26, 2609–2636, https://doi.org/10.5194/nhess-26-2609-2026, https://doi.org/10.5194/nhess-26-2609-2026, 2026
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Climate extremes threaten society and ecosystems, making impact understanding critical. Wikimpacts 1.0 provides an automated pipeline processing Wikipedia texts with underexploited information on climate impacts, yielding comprehensive socio-economic impact data for 2726 climate events from 1034–2024. It offers broader storm-related impacts and finer spatial resolution than established databases, showcasing natural language processing's potential to advance climate impact data.
Michael Gregory Windisch, Yann Quilcaille, Camilla Mathison, Claudia Tebaldi, Eleanor Burke, Laila Gohar, Chris Smith, Sarah Schöngart, Abigail Snyder, Siddarth Durga, Kalyn Dorheim, and Sonia Seneviratne
EGUsphere, https://doi.org/10.5194/egusphere-2026-2253, https://doi.org/10.5194/egusphere-2026-2253, 2026
This preprint is open for discussion and under review for Earth System Dynamics (ESD).
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Creating consistent climate scenarios remains challenging. The computational cost of comprehensive climate models leaves most scenarios without spatial climate outcomes, limiting feedback between climate consequences and scenario assumptions. We apply three spatial emulators to test their potential and current limitations in rapidly translating scenarios into spatial outcomes to identify regional risks, fill gaps in scenario coverage, and feed climate consequences back into scenario assumptions.
Katja Frieler, Stefan Lange, Jacob Schewe, Matthias Mengel, Simon Treu, Christian Otto, Jan Volkholz, Christopher P. O. Reyer, Stefanie Heinicke, Colin Jones, Julia L. Blanchard, Cheryl S. Harrison, Colleen M. Petrik, Tyler D. Eddy, Kelly Ortega-Cisneros, Camilla Novaglio, Ryan Heneghan, Derek P. Tittensor, Olivier Maury, Matthias Büchner, Thomas Vogt, Dánnell Quesada-Chacón, Kerry Emanuel, Chia-Ying Lee, Suzana J. Camargo, Linn Hamester, Jonas Jägermeyr, Sam Rabin, Jochen Klar, Iliusi D. Vega del Valle, Lisa Novak, Inga J. Sauer, Gitta Lasslop, Sarah Chadburn, Eleanor Burke, Angela Gallego-Sala, Noah Smith, Jinfeng Chang, Stijn Hantson, Chantelle Burton, Anne Gädeke, Fang Li, Simon N. Gosling, Hannes Müller Schmied, Fred Hattermann, Thomas Hickler, Rafael Marcé, Don Pierson, Wim Thiery, Daniel Mercado-Bettín, Robert Ladwig, Ana Isabel Ayala, Matthew Forrest, Michel Bechtold, Robert Reinecke, Inge de Graaf, Jed O. Kaplan, Alexander Koch, Matthieu Lengaigne, Rohini Kumar, and Maryna Strokal
Geosci. Model Dev., 19, 4095–4135, https://doi.org/10.5194/gmd-19-4095-2026, https://doi.org/10.5194/gmd-19-4095-2026, 2026
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This paper describes the experiments and data sets necessary to run historic and future impact projections, and the underlying assumptions of future climate change as defined by the 3rd round of the ISIMIP Project (Inter-sectoral Impactmodel Intercomparison Project, isimip.org). ISIMIP provides a framework for cross-sectorally consistent climate impact simulations to contribute to a comprehensive and consistent picture of the world under different climate-change scenarios.
Elizabeth Quaye, Ben T. Johnson, James M. Haywood, Guido R. van der Werf, Roland Vernooij, Stephen A. Sitch, and Tom Eames
Atmos. Chem. Phys., 26, 6629–6654, https://doi.org/10.5194/acp-26-6629-2026, https://doi.org/10.5194/acp-26-6629-2026, 2026
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We find aerosol optical depths in a global climate model are overestimated during extreme wildfire events if emissions are scaled up by a factor of two, typically applied to improve simulated aerosol on seasonal–annual timescales. We propose a technique where a variable scaling factor is determined by fuel consumption, improving correlation in five fire-affected areas. We explore the impact of this change on aerosol radiative effects, during extreme events and on broader space and time scales.
Fang Li, David M. Lawrence, Brendan M. Rogers, Chantelle Burton, Huilin Huang, Yiquan Jiang, Johannes W. Kaiser, Matthew Kasoar, Hanna Lee, Ruby Leung, Lars Nieradzik, Aihui Wang, Daniel S. Ward, Ligeer Ce, Yangchun Li, Zhongda Lin, Apostolos Voulgarakis, and Yongkang Xue
Geosci. Model Dev., 19, 3989–4007, https://doi.org/10.5194/gmd-19-3989-2026, https://doi.org/10.5194/gmd-19-3989-2026, 2026
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Extreme fire events are increasing, and fires are projected to rise across most regions, posing growing risks to ecosystems and society. As a key Earth system process, fire is now modeled in most Earth System Models (ESMs). FireMIP (Fire Modeling Intercomparison Project) within CMIP7 will evaluate fire simulations in state‑of‑the‑art ESMs, project future fire changes, and provide quantitative, process‑based understanding of fire's role in the Earth system.
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Dorothee C. E. Bakker, Judith Hauck, Peter Landschützer, Corinne Le Quéré, Hongmei Li, Ingrid T. Luijkx, Glen P. Peters, Wouter Peters, Julia Pongratz, Clemens Schwingshackl, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Kjetil Aas, Simone R. Alin, Peter Anthoni, Leticia Barbero, Nicholas R. Bates, Nicolas Bellouin, Alice Benoit-Cattin, Carla F. Berghoff, Raffaele Bernardello, Laurent Bopp, Ida Bagus Mandhara Brasika, Matthew A. Chamberlain, Naveen Chandra, Frédéric Chevallier, Louise P. Chini, Nathan O. Collier, Thomas H. Colligan, Margot Cronin, Laique M. Djeutchouang, Xinyu Dou, Matt P. Enright, Kazutaka Enyo, Michael Erb, Wiley Evans, Richard A. Feely, Liang Feng, Daniel J. Ford, Adrianna Foster, Filippa Fransner, Thomas Gasser, Marion Gehlen, Thanos Gkritzalis, Jefferson Goncalves De Souza, Giacomo Grassi, Luke Gregor, Nicolas Gruber, Bertrand Guenet, Özgür Gürses, Kirsty Harrington, Ian Harris, Jens Heinke, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Akihiko Ito, Andrew R. Jacobson, Atul K. Jain, Tereza Jarníková, Annika Jersild, Fei Jiang, Steve D. Jones, Etsushi Kato, Ralph F. Keeling, Kees Klein Goldewijk, Jürgen Knauer, Yawen Kong, Jan Ivar Korsbakken, Charles Koven, Taro Kunimitsu, Xin Lan, Junjie Liu, Zhiqiang Liu, Zhu Liu, Claire Lo Monaco, Lei Ma, Gregg Marland, Patrick C. McGuire, Galen A. McKinley, Joe R. Melton, Natalie Monacci, Erwan Monier, Eric J. Morgan, David R. Munro, Jens D. Müller, Shin-Ichiro Nakaoka, Lorna R. Nayagam, Yosuke Niwa, Tobias Nutzel, Are Olsen, Abdirahman M. Omar, Naiqing Pan, Sudhanshu Pandey, Denis Pierrot, Zhangcai Qin, Pierre Regnier, Gregor Rehder, Laure Resplandy, Alizée Roobaert, Thais M. Rosan, Christian Rödenbeck, Jörg Schwinger, Ingunn Skjelvan, T. Luke Smallman, Victoria Spada, Mohanan G. Sreeush, Qing Sun, Adrienne J. Sutton, Colm Sweeney, Didier Swingedouw, Roland Séférian, Shintaro Takao, Hiroaki Tatebe, Hanqin Tian, Xiangjun Tian, Bronte Tilbrook, Hiroyuki Tsujino, Francesco Tubiello, Erik van Ooijen, Guido R. van der Werf, Sebastiaan J. van de Velde, Anthony P. Walker, Rik Wanninkhof, Xiaojuan Yang, Wenping Yuan, Xu Yue, and Jiye Zeng
Earth Syst. Sci. Data, 18, 3211–3288, https://doi.org/10.5194/essd-18-3211-2026, https://doi.org/10.5194/essd-18-3211-2026, 2026
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The Global Carbon Budget 2025 describes the methodology, main results, and datasets used to quantify the anthropogenic emissions of carbon dioxide (CO2) and their partitioning among the atmosphere, land ecosystems, and the ocean over the historical period (1750–2025). These living datasets are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Erika Solano-Romero, Carlota Segura-Garcia, M. Lucrecia Pettinari, Amin Khairoun, Miguel Ángel Torres-Vázquez, and Emilio Chuvieco
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-236, https://doi.org/10.5194/essd-2026-236, 2026
Preprint under review for ESSD
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To better understand where and when the world’s most unusual fires occur, we created the first global database of extreme fire events for 2003 to 2022. Using satellite observations of burned land and fire energy, we identified 19,951 extreme events and found clear differences across regions and seasons. This new resource can help researchers and decision makers improve studies of climate, ecosystems, and future fire risk.
Jakob Benjamin Wessel and Richard E. Chandler
Adv. Stat. Clim. Meteorol. Oceanogr., 12, 149–172, https://doi.org/10.5194/ascmo-12-149-2026, https://doi.org/10.5194/ascmo-12-149-2026, 2026
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Precipitation generators are statistical models for generating long synthetic sequences of (multisite) precipitation for hydrological analyses. One widely-used class of precipitation generators is based on so-called 'generalised linear models'. In this work, we extend this class to better capture key features of daily precipitation and introduce a new method to ensure realistic inter-site dependence, so neighbouring locations tend to be dry or wet at the same time.
Derrick Muheki, Koen Hufkens, Kim Jacobsen, Hans Verbeeck, Pascal Boeckx, Dominique Kankonde Ntumba, Olivier Kapalay Moulasa, Bas Vercruysse, Julie M. Birkholz, Christophe Verbruggen, Ed Hawkins, Seppe Lampe, Emmanuel Kasongo Yakusu, Fils Makanzu Imwangana, José Mbifo, Théophile Besango Likwela, Félicien Meunier, Olivier Dewitte, Peter Thorne, and Wim Thiery
EGUsphere, https://doi.org/10.5194/egusphere-2026-2107, https://doi.org/10.5194/egusphere-2026-2107, 2026
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The Congo Basin is one of the least studied regions for climate change due to limited accessible data, despite large volumes of historical records stored on paper in archives. In this study, we digitised over 9,000 sheets from 37 stations in the Democratic Republic of the Congo, producing more than one million daily weather observations. The results show clear warming since the 1960s, with more hot days and fewer cold days, highlighting the importance of data rescue in data-sparse regions.
Derrick Muheki, Bas Vercruysse, Krishna Kumar Thirukokaranam Chandrasekar, Christophe Verbruggen, Julie M. Birkholz, Koen Hufkens, Hans Verbeeck, Pascal Boeckx, Seppe Lampe, Ed Hawkins, Peter Thorne, Dominique Kankonde Ntumba, Olivier Kapalay Moulasa, and Wim Thiery
Geosci. Model Dev., 19, 3213–3255, https://doi.org/10.5194/gmd-19-3213-2026, https://doi.org/10.5194/gmd-19-3213-2026, 2026
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Archives worldwide host vast records of observed weather data crucial for understanding climate variability. However, most of these records are still in paper form, limiting their use. To address this, we developed MeteoSaver, an open-source tool, to transcribe these records to machine-readable format. Applied to ten handwritten temperature sheets, it achieved a median accuracy of 74 %. This tool offers a promising solution to preserve records from archives and unlock historical weather insights.
Sasha Roewer, Lukas Fiedler, Marius Årthun, Willem Huiskamp, and Stefan Rahmstorf
Ocean Sci., 22, 1195–1211, https://doi.org/10.5194/os-22-1195-2026, https://doi.org/10.5194/os-22-1195-2026, 2026
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The Atlantic Meridional Overturning Circulation (AMOC) is weakening in response to global warming, while the Nordic Seas Overturning Circulation (NOC) is projected to strengthen. We suggest a feedback mechanism in which a weakened AMOC leads to reduced salt transport into the North Atlantic, decreasing the density in that region and potentially strengthening the NOC.
William F. Lamb, Robbie M. Andrew, Matthew Jones, Zebedee Nicholls, Glen P. Peters, Chris Smith, Marielle Saunois, Giacomo Grassi, Julia Pongratz, Steven J. Smith, Francesco N. Tubiello, Monica Crippa, Matthew Gidden, Pierre Friedlingstein, Jan Minx, and Piers M. Forster
Earth Syst. Sci. Data, 18, 2549–2572, https://doi.org/10.5194/essd-18-2549-2026, https://doi.org/10.5194/essd-18-2549-2026, 2026
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This study explores why global greenhouse gas (GHG) emissions estimates vary. Key reasons include different coverage of gases and sectors, varying definitions of anthropogenic land use change emissions, and the Paris Agreement not covering all emission sources. The study highlights three main ways emissions data is reported, each with different objectives and resulting in varying global emission totals. It emphasizes the need for transparency in choosing datasets and setting assessment scopes.
Ehsan Modiri, Oldrich Rakovec, Pallav Kumar Shrestha, Almudena García-García, Leandro Avila, Katie Blackford, Elizabeth Cooper, Bram Droppers, Paolo Filippucci, Milan Fischer, Matěj Orság, Pietro Stradiotti, Luca Brocca, Douglas B. Clark, Wouter Dorigo, Stefan Kollet, Jian Peng, Niko Wanders, and Luis Samaniego
EGUsphere, https://doi.org/10.5194/egusphere-2026-1012, https://doi.org/10.5194/egusphere-2026-1012, 2026
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
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Drought impacts water supply, agriculture, and ecosystems, yet hydrological models often disagree on when and where drought occurs. This study tested whether satellite observations can improve how models represent soil moisture drought in the Rhine River basin. Using several models and major drought events, we show that satellite data improve spatial realism and reveal important differences among models, helping to better understand uncertainty in drought monitoring and early warning.
Yang Chen, Guido R. van der Werf, Mingquan Mu, Dave van Wees, Joanne V. Hall, Louis Giglio, Roland Vernooij, Douglas C. Morton, Li Xu, Tianjia Liu, Rebecca C. Scholten, Shane R. Coffield, Melanie B. Follette-Cook, Lesley Ott, and James T. Randerson
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-158, https://doi.org/10.5194/essd-2026-158, 2026
Revised manuscript under review for ESSD
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Fire patterns are changing, partly due to climate change. While the Global Fire Emissions Database (GFED) is a key tool for tracking fire impacts, its main satellite sensors are retiring. We introduce GFED5NRT, a new extension using modern VIIRS satellite data to provide daily, real-time updates on fires and smoke. By bridging past records with current observations, this system helps scientists and the public monitor extreme fire events and their effects on our changing planet.
Tim Butler, Tabish Ansari, Claudio A. Belis, Elisa Bergas-Masso, Willem van Caspel, Hilde Fagerli, Johannes Flemming, Marta Garcia Vivanco, Paul Griffiths, Douglas S. Hamilton, Coralina Hernandez Trujillo, Lena Höglund-Isaksson, Vincent Huijnen, Matthew Kasoar, Johannes W. Kaiser, Gerbrand Koren, Zbigniew Klimont, Florian Lindl, Aura Lupascu, Mariano Mertens, Martijn Schaap, Steven T. Turnock, Oliver Wild, Philipp Weiss, Jacek Kaminski, Rosa Wu, and Terry Keating
EGUsphere, https://doi.org/10.5194/egusphere-2026-1367, https://doi.org/10.5194/egusphere-2026-1367, 2026
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Air pollution travels across continents, meaning emissions in one region can affect air quality far away. To better understand this, scientists from many groups are planning to run coordinated computer simulations of the atmosphere. By comparing results across models and emission scenarios, the planned study will show how pollution moves between regions and which sources matter most, helping governments design more effective air quality policies.
Martin Willett, Melissa Brooks, Andrew Bushell, Paul Earnshaw, Samantha Smith, Lorenzo Tomassini, Martin Best, Ian Boutle, Jennifer Brooke, John M. Edwards, Andrew D. Elvidge, Kalli Furtado, Catherine Hardacre, Andrew J. Hartley, Alan J. Hewitt, Ben Johnson, Adrian Lock, Andy Malcolm, Jane Mulcahy, Eike Müller, Ian A. Renfrew, Heather Rumbold, Gabriel G. Rooney, Alistair Sellar, Masashi Ujiie, Annelize van Niekerk, Andy Wiltshire, and Michael Whitall
Geosci. Model Dev., 19, 1473–1517, https://doi.org/10.5194/gmd-19-1473-2026, https://doi.org/10.5194/gmd-19-1473-2026, 2026
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Global Atmosphere (GA) configurations of the Unified Model (UM) and Global Land (GL) configurations of Joint UK Land Environment Simulator (JULES) are developed for use in any global atmospheric modelling application. We describe a recent iteration of these configurations, GA8GL9, which includes improvements to the representation of convection and other physical processes. GA8GL9 is used for operational weather prediction in the UK and forms the basis for the next GA and GL configuration.
Maria P. Velásquez-García, Richard J. Pope, Steven T. Turnock, Chetan Deva, David P. Moore, Guilherme Mataveli, Steve R. Arnold, Ruth M. Doherty, and Martyn P. Chipperfield
Biogeosciences, 23, 1341–1364, https://doi.org/10.5194/bg-23-1341-2026, https://doi.org/10.5194/bg-23-1341-2026, 2026
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Incorporating fire simulation into climate models is crucial for accurately representing interactions between fires, ecosystems, and climate, thereby enhancing climate projections. In South America, the INFERNO (Interactive Fires and Emissions algorithm for Natural Environments) fire model broadly captures CO emissions in active fire zones, e.g., the Amazon Arc of Deforestation. Still, it tends to overestimate emissions in tree-rich ecosystems, where INFERNO is too sensitive to low soil moisture, and to underestimate emissions in less tree-abundant ecosystems.
Anne-Wil van den Berg, Joram J. D. Hooghiem, Auke M. van der Woude, Pieter Rijsdijk, Roland Vernooij, Santiago Botia, Guido R. van der Werf, John B. Miller, Ingrid T. Luijkx, Maarten C. Krol, and Wouter Peters
EGUsphere, https://doi.org/10.5194/egusphere-2025-6213, https://doi.org/10.5194/egusphere-2025-6213, 2026
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We estimate 2019 Brazilian fire carbon monoxide (CO) emissions using CO retrievals from different satellite instruments in a new top-down inversion framework. The retrievals strongly constrain fire emissions and complement existing inventories. National-scale posterior emissions align well with the new GFED5.1 inventory, supporting progress in fire emission modelling. Yet, posterior emissions in the Cerrado and Caatinga are systematically higher than inventories, we discuss potential drivers.
A. Park Williams, Winslow D. Hansen, Caroline S. Juang, John T. Abatzoglou, Volker C. Radeloff, Bowen Wang, Jazlynn Hall, Jatan Buch, and Gavin D. Madakumbura
Geosci. Model Dev., 19, 1157–1191, https://doi.org/10.5194/gmd-19-1157-2026, https://doi.org/10.5194/gmd-19-1157-2026, 2026
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The new Western United States Large Forest Fire Stochastic Simulator (WULFFSS) is a monthly gridded model to simulate forest fires across the western United States in response to vegetation, topographic, anthropogenic, and climate factors. The model is highly skillful, accounting for over 80 % of the observed variability in annual forest-fire area and capturing observed spatial, intra-annual variations, and trends.
Seppe Lampe, Lukas Gudmundsson, Basil Kraft, Stijn Hantson, Douglas Kelley, Vincent Humphrey, Bertrand Le Saux, Emilio Chuvieco, and Wim Thiery
Geosci. Model Dev., 19, 955–988, https://doi.org/10.5194/gmd-19-955-2026, https://doi.org/10.5194/gmd-19-955-2026, 2026
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We introduce BuRNN (BUrned area modelling by Recurrent Neural Networks), a model which estimates monthly burned area based on satellite observations and climate, vegetation, and socio-economic data using machine learning. BuRNN outperforms existing process-based fire models, which improves our capabilities of modelling past and future burned areas.
Claudia Di Biagio, Elisa Bru, Avila Orta, Servanne Chevaillier, Clarissa Baldo, Antonin Bergé, Mathieu Cazaunau, Sandra Lafon, Sophie Nowak, Edouard Pangui, Meinrat O. Andreae, Pavla Dagsson-Waldhauserova, Kebonyethata Dintwe, Konrad Kandler, James S. King, Amelie Chaput, Gregory S. Okin, Stuart Piketh, Thuraya Saeed, David Seibert, Zongbo Shi, Earle Williams, Pasquale Sellitto, and Paola Formenti
Atmos. Chem. Phys., 26, 1079–1091, https://doi.org/10.5194/acp-26-1079-2026, https://doi.org/10.5194/acp-26-1079-2026, 2026
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Spectroscopy measurements show that the absorbance of dust in the far-infrared up to 25 µm is comparable in intensity to that in the mid-infrared (3–15 µm) suggesting possible relevance for its direct radiative effect. Absorption signatures differ between Icelandic and low/mid-latitude dust due to differences in mineralogical composition. Spectral differences could be used to characterise the mineralogy and trace the origin of airborne dust based on infrared remote sensing observations.
Tom Eames, Nick Schutgens, Eleftherios Ioannidis, Ivar R. van der Velde, Max J. van Gerrevink, Roland Vernooij, and Guido R. van der Werf
Atmos. Chem. Phys., 25, 17429–17453, https://doi.org/10.5194/acp-25-17429-2025, https://doi.org/10.5194/acp-25-17429-2025, 2025
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Prescribed burning is used as a landscape management tool in southern African savannas. By deliberately changing the timing of fires in this region, the climate effect (radiative forcing) of a fire season can be altered. We show that by burning earlier in the dry season a small climate cooling effect can be achieved, similar to that of a 10 % reduction in global commercial aviation emissions. Local effects must be considered before implementing a fire regime shift for climate change mitigation.
Pere Joan Gelabert, Adrián Jiménez-Ruano, Clara Ochoa, Fermín Alcasena, Johan Sjöström, Christopher Marrs, Luís Mário Ribeiro, Palaiologos Palaiologou, Carmen Bentué Martínez, Emilio Chuvieco, Cristina Vega-García, and Marcos Rodrigues
Nat. Hazards Earth Syst. Sci., 25, 4713–4729, https://doi.org/10.5194/nhess-25-4713-2025, https://doi.org/10.5194/nhess-25-4713-2025, 2025
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Wildfires threaten ecosystems and communities across Europe. Our study developed models to predict where and why these ignitions occur in different European environments. We found that weather anomalies and human factors, like proximity to urban areas and roads, are key drivers. Using Machine Learning our models achieved strong predictive accuracy. These insights help design better wildfire prevention strategies, ensuring safer landscapes and communities as fire risks grow with climate change.
Clément Bourgoin, René Beuchle, Alfredo Branco, João Carreiras, Guido Ceccherini, Duarte Oom, Jesus San-Miguel-Ayanz, and Fernando Sedano
Biogeosciences, 22, 5247–5256, https://doi.org/10.5194/bg-22-5247-2025, https://doi.org/10.5194/bg-22-5247-2025, 2025
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The Amazon forest faces increasing wildfires due to extreme drought and human activity. In 2024, disturbances surged by 152 %, hitting a 20-year high. Forest degradation from fires grew by over 400 %, exceeding that from deforestation. Brazil and Bolivia were hit hardest. These fires released huge amounts of CO2, 7 times more than in recent years, pushing the Amazon towards a dangerous tipping point. Urgent action is needed to prevent irreversible harm.
Augustin Colette, Gaëlle Collin, François Besson, Etienne Blot, Vincent Guidard, Frédérik Meleux, Adrien Royer, Valentin Petiot, Claire Miller, Oihana Fermond, Alizé Jeant, Mario Adani, Joaquim Arteta, Anna Benedictow, Robert Bergström, Dene Bowdalo, Jorgen Brandt, Gino Briganti, Ana C. Carvalho, Jesper Heile Christensen, Florian Couvidat, Ilaria D'Elia, Massimo D'Isidoro, Hugo Denier van der Gon, Gaël Descombes, Enza Di Tomaso, John Douros, Jeronimo Escribano, Henk Eskes, Hilde Fagerli, Yalda Fatahi, Johannes Flemming, Elmar Friese, Lise Frohn, Michael Gauss, Camilla Geels, Guido Guarnieri, Marc Guevara, Antoine Guion, Jonathan Guth, Risto Hänninen, Kaj Hansen, Ulas Im, Ruud Janssen, Marine Jeoffrion, Mathieu Joly, Luke Jones, Oriol Jorba, Evgeni Kadantsev, Michael Kahnert, Jacek W. Kaminski, Rostislav Kouznetsov, Richard Kranenburg, Jeroen Kuenen, Anne Caroline Lange, Joachim Langner, Victor Lannuque, Francesca Macchia, Astrid Manders, Mihaela Mircea, Agnes Nyiri, Miriam Olid, Carlos Pérez García-Pando, Yuliia Palamarchuk, Antonio Piersanti, Blandine Raux, Miha Razinger, Lennard Robertson, Arjo Segers, Martijn Schaap, Pilvi Siljamo, David Simpson, Mikhail Sofiev, Anders Stangel, Joanna Struzewska, Carles Tena, Renske Timmermans, Thanos Tsikerdekis, Svetlana Tsyro, Svyatoslav Tyuryakov, Anthony Ung, Andreas Uppstu, Alvaro Valdebenito, Peter van Velthoven, Lina Vitali, Zhuyun Ye, Vincent-Henri Peuch, and Laurence Rouïl
Geosci. Model Dev., 18, 6835–6883, https://doi.org/10.5194/gmd-18-6835-2025, https://doi.org/10.5194/gmd-18-6835-2025, 2025
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The Copernicus Atmosphere Monitoring Service – Regional Production delivers daily forecasts, analyses, and reanalyses of air quality in Europe. The service relies on a distributed modelling production by 11 leading European modelling teams following stringent requirements with an operational design that has no equivalent in the world. All the products are free, open, and quality-assured and disseminated with a high level of reliability.
Kirsty J. Pringle, Richard Rigby, Steven T. Turnock, Carly L. Reddington, Meruyert Shayakhmetova, Malcolm Illingworth, Denis Barclay, Neil Chue Hong, Ed Hawkins, Douglas S. Hamilton, Ethan Brain, and James B. McQuaid
Geosci. Commun., 8, 229–236, https://doi.org/10.5194/gc-8-229-2025, https://doi.org/10.5194/gc-8-229-2025, 2025
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The Air Quality Stripes images visualise historical changes in particulate matter air pollution in over 150 cities worldwide. The project celebrates significant improvements in air quality in regions like Europe, North America, and China while highlighting the urgent need for action in areas such as central Asia. Designed to raise awareness, the images aim to inspire discussions about the critical impact of air pollution and the global inequalities it causes.
Fiona R. Spuler, Marlene Kretschmer, Magdalena Alonso Balmaseda, Yevgeniya Kovalchuk, and Theodore G. Shepherd
Weather Clim. Dynam., 6, 995–1014, https://doi.org/10.5194/wcd-6-995-2025, https://doi.org/10.5194/wcd-6-995-2025, 2025
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Large-scale atmospheric dynamics modulate the occurrence of extreme events and can improve their prediction. We present a generative machine learning method to identify key dynamical drivers of an impact variable in the form of targeted circulation regimes. Applied to extreme precipitation in Morocco, we show that these targeted regimes are more predictive of the impact while preserving their own predictability and physical consistency.
Renata Moura da Veiga, Celso von Randow, Chantelle Burton, Douglas I. Kelley, Manoel Cardoso, and Fabiano Morelli
Nat. Hazards Earth Syst. Sci., 25, 3581–3601, https://doi.org/10.5194/nhess-25-3581-2025, https://doi.org/10.5194/nhess-25-3581-2025, 2025
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We systematically reviewed 77 papers to understand the Cerrado’s fire emissions within the global carbon budget by evaluating how fire parameters can inform emission estimates and mitigation strategies. Estimating fire emissions in the Cerrado requires a holistic approach, combining fire carbon emission estimates, fire dynamic parameters, and fire management and policy. We highlight key research gaps that could provide more comprehensive insights into accounting for fire emissions in the Cerrado.
Anastasios Rovithakis, Eleanor Burke, Chantelle Burton, Matthew Kasoar, Manolis G. Grillakis, Konstantinos D. Seiradakis, and Apostolos Voulgarakis
Nat. Hazards Earth Syst. Sci., 25, 3185–3200, https://doi.org/10.5194/nhess-25-3185-2025, https://doi.org/10.5194/nhess-25-3185-2025, 2025
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We used a land surface computer model to forecast how climate change will impact wildfires in Greece. Our results show a significant increase in future burnt area due to hotter, drier climate. Allowing vegetation to change with the climate lessens this increase overall, since fire is no longer igniting in areas already burnt, and it even led to projected decreases in the agricultural areas in the north of the country.
Emmanouil Proestakis, Vassilis Amiridis, Carlos Pérez García-Pando, Svetlana Tsyro, Jan Griesfeller, Antonis Gkikas, Thanasis Georgiou, María Gonçalves Ageitos, Jeronimo Escribano, Stelios Myriokefalitakis, Elisa Bergas Masso, Enza Di Tomaso, Sara Basart, Jan-Berend W. Stuut, and Angela Benedetti
Earth Syst. Sci. Data, 17, 4351–4395, https://doi.org/10.5194/essd-17-4351-2025, https://doi.org/10.5194/essd-17-4351-2025, 2025
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Quantification of dust deposition into the broader Atlantic Ocean is provided, with the estimates established based on Earth observations. The dataset is considered unique with respect to a range of applications, including compensating for spatiotemporal gaps of sediment-trap measurements, assessments of model simulations, shedding light on physical processes related to the dust cycle, and improving the understanding of dust biogeochemical impacts on oceanic ecosystems, weather, and climate.
Zhixuan Guo, Wei Li, Philippe Ciais, Stephen Sitch, Guido R. van der Werf, Simon P. K. Bowring, Ana Bastos, Florent Mouillot, Jiaying He, Minxuan Sun, Lei Zhu, Xiaomeng Du, Nan Wang, and Xiaomeng Huang
Earth Syst. Sci. Data, 17, 3599–3618, https://doi.org/10.5194/essd-17-3599-2025, https://doi.org/10.5194/essd-17-3599-2025, 2025
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To address the limitations of short time spans in satellite data and spatiotemporal discontinuity in site records, we reconstructed global monthly burned area maps at a 0.5° resolution for 1901–2020 using machine learning models. The global burned area is predicted at 3.46 × 106–4.58 × 106 km² per year, showing a decline from 1901 to 1978, an increase from 1978 to 2008 and a sharper decrease from 2008 to 2020. This dataset provides a benchmark for studies on fire ecology and the carbon cycle.
Forrest M. Hoffman, Birgit Hassler, Ranjini Swaminathan, Jared Lewis, Bouwe Andela, Nathaniel Collier, Dóra Hegedűs, Jiwoo Lee, Charlotte Pascoe, Mika Pflüger, Martina Stockhause, Paul Ullrich, Min Xu, Lisa Bock, Felicity Chun, Bettina K. Gier, Douglas I. Kelley, Axel Lauer, Julien Lenhardt, Manuel Schlund, Mohanan G. Sreeush, Katja Weigel, Ed Blockley, Rebecca Beadling, Romain Beucher, Demiso D. Dugassa, Valerio Lembo, Jianhua Lu, Swen Brands, Jerry Tjiputra, Elizaveta Malinina, Brian Mederios, Enrico Scoccimarro, Jeremy Walton, Philip Kershaw, André L. Marquez, Malcolm J. Roberts, Eleanor O’Rourke, Elisabeth Dingley, Briony Turner, Helene Hewitt, and John P. Dunne
EGUsphere, https://doi.org/10.5194/egusphere-2025-2685, https://doi.org/10.5194/egusphere-2025-2685, 2025
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As Earth system models become more complex, rapid and comprehensive evaluation through comparison with observational data is necessary. The upcoming Assessment Fast Track for the Seventh Phase of the Coupled Model Intercomparison Project (CMIP7) will require fast analysis. This paper describes a new Rapid Evaluation Framework (REF) that was developed for the Assessment Fast Track that will be run at the Earth System Grid Federation (ESGF) to inform the community about the performance of models.
Anna C. Talucci, Michael M. Loranty, Jean E. Holloway, Brendan M. Rogers, Heather D. Alexander, Natalie Baillargeon, Jennifer L. Baltzer, Logan T. Berner, Amy Breen, Leya Brodt, Brian Buma, Jacqueline Dean, Clement J. F. Delcourt, Lucas R. Diaz, Catherine M. Dieleman, Thomas A. Douglas, Gerald V. Frost, Benjamin V. Gaglioti, Rebecca E. Hewitt, Teresa Hollingsworth, M. Torre Jorgenson, Mark J. Lara, Rachel A. Loehman, Michelle C. Mack, Kristen L. Manies, Christina Minions, Susan M. Natali, Jonathan A. O'Donnell, David Olefeldt, Alison K. Paulson, Adrian V. Rocha, Lisa B. Saperstein, Tatiana A. Shestakova, Seeta Sistla, Oleg Sizov, Andrey Soromotin, Merritt R. Turetsky, Sander Veraverbeke, and Michelle A. Walvoord
Earth Syst. Sci. Data, 17, 2887–2909, https://doi.org/10.5194/essd-17-2887-2025, https://doi.org/10.5194/essd-17-2887-2025, 2025
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Wildfires have the potential to accelerate permafrost thaw and the associated feedbacks to climate change. We assembled a dataset of permafrost thaw depth measurements from burned and unburned sites contributed by researchers from across the northern high-latitude region. We estimated maximum thaw depth for each measurement, which addresses a key challenge: the ability to assess impacts of wildfire on maximum thaw depth when measurement timing varies.
Santiago Botía, Saqr Munassar, Thomas Koch, Danilo Custodio, Luana S. Basso, Shujiro Komiya, Jost V. Lavric, David Walter, Manuel Gloor, Giordane Martins, Stijn Naus, Gerbrand Koren, Ingrid T. Luijkx, Stijn Hantson, John B. Miller, Wouter Peters, Christian Rödenbeck, and Christoph Gerbig
Atmos. Chem. Phys., 25, 6219–6255, https://doi.org/10.5194/acp-25-6219-2025, https://doi.org/10.5194/acp-25-6219-2025, 2025
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This study uses dry CO2 mole fractions from the Amazon Tall Tower Observatory together with airborne profiles to estimate net carbon exchange in tropical South America. We found that the biogeographic Amazon is a net carbon sink, while the Cerrado and Caatinga biomes are net carbon sources, resulting in an overall neutral balance. Finally, to further reduce the uncertainty in our estimates we call for an expansion of the monitoring capacity, especially in the Amazon–Andes foothills.
Piers M. Forster, Chris Smith, Tristram Walsh, William F. Lamb, Robin Lamboll, Christophe Cassou, Mathias Hauser, Zeke Hausfather, June-Yi Lee, Matthew D. Palmer, Karina von Schuckmann, Aimée B. A. Slangen, Sophie Szopa, Blair Trewin, Jeongeun Yun, Nathan P. Gillett, Stuart Jenkins, H. Damon Matthews, Krishnan Raghavan, Aurélien Ribes, Joeri Rogelj, Debbie Rosen, Xuebin Zhang, Myles Allen, Lara Aleluia Reis, Robbie M. Andrew, Richard A. Betts, Alex Borger, Jiddu A. Broersma, Samantha N. Burgess, Lijing Cheng, Pierre Friedlingstein, Catia M. Domingues, Marco Gambarini, Thomas Gasser, Johannes Gütschow, Masayoshi Ishii, Christopher Kadow, John Kennedy, Rachel E. Killick, Paul B. Krummel, Aurélien Liné, Didier P. Monselesan, Colin Morice, Jens Mühle, Vaishali Naik, Glen P. Peters, Anna Pirani, Julia Pongratz, Jan C. Minx, Matthew Rigby, Robert Rohde, Abhishek Savita, Sonia I. Seneviratne, Peter Thorne, Christopher Wells, Luke M. Western, Guido R. van der Werf, Susan E. Wijffels, Valérie Masson-Delmotte, and Panmao Zhai
Earth Syst. Sci. Data, 17, 2641–2680, https://doi.org/10.5194/essd-17-2641-2025, https://doi.org/10.5194/essd-17-2641-2025, 2025
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In a rapidly changing climate, evidence-based decision-making benefits from up-to-date and timely information. Here we compile monitoring datasets to track real-world changes over time. To make our work relevant to policymakers, we follow methods from the Intergovernmental Panel on Climate Change (IPCC). Human activities are increasing the Earth's energy imbalance and driving faster sea-level rise compared to the IPCC assessment.
Ricarda Winkelmann, Donovan P. Dennis, Jonathan F. Donges, Sina Loriani, Ann Kristin Klose, Jesse F. Abrams, Jorge Alvarez-Solas, Torsten Albrecht, David Armstrong McKay, Sebastian Bathiany, Javier Blasco Navarro, Victor Brovkin, Eleanor Burke, Gokhan Danabasoglu, Reik V. Donner, Markus Drüke, Goran Georgievski, Heiko Goelzer, Anna B. Harper, Gabriele Hegerl, Marina Hirota, Aixue Hu, Laura C. Jackson, Colin Jones, Hyungjun Kim, Torben Koenigk, Peter Lawrence, Timothy M. Lenton, Hannah Liddy, José Licón-Saláiz, Maxence Menthon, Marisa Montoya, Jan Nitzbon, Sophie Nowicki, Bette Otto-Bliesner, Francesco Pausata, Stefan Rahmstorf, Karoline Ramin, Alexander Robinson, Johan Rockström, Anastasia Romanou, Boris Sakschewski, Christina Schädel, Steven Sherwood, Robin S. Smith, Norman J. Steinert, Didier Swingedouw, Matteo Willeit, Wilbert Weijer, Richard Wood, Klaus Wyser, and Shuting Yang
EGUsphere, https://doi.org/10.5194/egusphere-2025-1899, https://doi.org/10.5194/egusphere-2025-1899, 2025
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The Tipping Points Modelling Intercomparison Project (TIPMIP) is an international collaborative effort to systematically assess tipping point risks in the Earth system using state-of-the-art coupled and stand-alone domain models. TIPMIP will provide a first global atlas of potential tipping dynamics, respective critical thresholds and key uncertainties, generating an important building block towards a comprehensive scientific basis for policy- and decision-making.
Maria Lucia Ferreira Barbosa, Douglas I. Kelley, Chantelle A. Burton, Igor J. M. Ferreira, Renata Moura da Veiga, Anna Bradley, Paulo Guilherme Molin, and Liana O. Anderson
Geosci. Model Dev., 18, 3533–3557, https://doi.org/10.5194/gmd-18-3533-2025, https://doi.org/10.5194/gmd-18-3533-2025, 2025
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As fire seasons in Brazil become increasingly severe, confidently understanding the factors driving fires is more critical than ever. To address this challenge, we developed FLAME (Fire Landscape Analysis using Maximum Entropy), a new model designed to predict fires and to analyse the spatial influence of both environmental and human factors while accounting for uncertainties. By adapting the model to different regions, we can enhance fire management strategies, making FLAME a powerful tool for protecting landscapes in Brazil and beyond.
Cynthia H. Whaley, Tim Butler, Jose A. Adame, Rupal Ambulkar, Steve R. Arnold, Rebecca R. Buchholz, Benjamin Gaubert, Douglas S. Hamilton, Min Huang, Hayley Hung, Johannes W. Kaiser, Jacek W. Kaminski, Christoph Knote, Gerbrand Koren, Jean-Luc Kouassi, Meiyun Lin, Tianjia Liu, Jianmin Ma, Kasemsan Manomaiphiboon, Elisa Bergas Masso, Jessica L. McCarty, Mariano Mertens, Mark Parrington, Helene Peiro, Pallavi Saxena, Saurabh Sonwani, Vanisa Surapipith, Damaris Y. T. Tan, Wenfu Tang, Veerachai Tanpipat, Kostas Tsigaridis, Christine Wiedinmyer, Oliver Wild, Yuanyu Xie, and Paquita Zuidema
Geosci. Model Dev., 18, 3265–3309, https://doi.org/10.5194/gmd-18-3265-2025, https://doi.org/10.5194/gmd-18-3265-2025, 2025
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The multi-model experiment design of the HTAP3 Fires project takes a multi-pollutant approach to improving our understanding of transboundary transport of wildland fire and agricultural burning emissions and their impacts. The experiments are designed with the goal of answering science policy questions related to fires. The options for the multi-model approach, including inputs, outputs, and model setup, are discussed, and the official recommendations for the project are presented.
Joseph W. Gallear, Marcelo Valadares Galdos, Marcelo Zeri, and Andrew Hartley
Nat. Hazards Earth Syst. Sci., 25, 1521–1541, https://doi.org/10.5194/nhess-25-1521-2025, https://doi.org/10.5194/nhess-25-1521-2025, 2025
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In Brazil, drought is of national concern and can have major consequences for agriculture. Here, we determine how to develop forecasts for drought stress on vegetation health using machine learning. Results aim to inform future developments in operational drought monitoring at the National Centre for Monitoring and Early Warning of Natural Disasters (CEMADEN) in Brazil. This information is essential for disaster preparedness and planning of future actions to support areas affected by drought.
Ngoc Thi Nhu Do, Kengo Sudo, Akihiko Ito, Louisa K. Emmons, Vaishali Naik, Kostas Tsigaridis, Øyvind Seland, Gerd A. Folberth, and Douglas I. Kelley
Geosci. Model Dev., 18, 2079–2109, https://doi.org/10.5194/gmd-18-2079-2025, https://doi.org/10.5194/gmd-18-2079-2025, 2025
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Understanding historical isoprene emission changes is important for predicting future climate, but trends and their controlling factors remain uncertain. This study shows that long-term isoprene trends vary among Earth system models mainly due to partially incorporating CO2 effects and land cover changes rather than to climate. Future models that refine these factors’ effects on isoprene emissions, along with long-term observations, are essential for better understanding plant–climate interactions.
Inika Taylor, Douglas I. Kelley, Camilla Mathison, Karina E. Williams, Andrew J. Hartley, Richard A. Betts, and Chantelle Burton
EGUsphere, https://doi.org/10.5194/egusphere-2025-720, https://doi.org/10.5194/egusphere-2025-720, 2025
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Climate change is reshaping fire seasons worldwide and, in many places, increasing fire weather risk. We use climate model simulations to project future changes in fire danger at different levels of global warming, focusing on Australia, Brazil, and the USA. Keeping warming below 2 °C significantly limits the increase in fire risk, but even at 1.5 °C, fire seasons lengthen, with more extreme conditions. However, low-fire weather periods remain, offering critical windows for fire management.
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Judith Hauck, Peter Landschützer, Corinne Le Quéré, Hongmei Li, Ingrid T. Luijkx, Are Olsen, Glen P. Peters, Wouter Peters, Julia Pongratz, Clemens Schwingshackl, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Robert B. Jackson, Simone R. Alin, Almut Arneth, Vivek Arora, Nicholas R. Bates, Meike Becker, Nicolas Bellouin, Carla F. Berghoff, Henry C. Bittig, Laurent Bopp, Patricia Cadule, Katie Campbell, Matthew A. Chamberlain, Naveen Chandra, Frédéric Chevallier, Louise P. Chini, Thomas Colligan, Jeanne Decayeux, Laique M. Djeutchouang, Xinyu Dou, Carolina Duran Rojas, Kazutaka Enyo, Wiley Evans, Amanda R. Fay, Richard A. Feely, Daniel J. Ford, Adrianna Foster, Thomas Gasser, Marion Gehlen, Thanos Gkritzalis, Giacomo Grassi, Luke Gregor, Nicolas Gruber, Özgür Gürses, Ian Harris, Matthew Hefner, Jens Heinke, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Andrew R. Jacobson, Atul K. Jain, Tereza Jarníková, Annika Jersild, Fei Jiang, Zhe Jin, Etsushi Kato, Ralph F. Keeling, Kees Klein Goldewijk, Jürgen Knauer, Jan Ivar Korsbakken, Xin Lan, Siv K. Lauvset, Nathalie Lefèvre, Zhu Liu, Junjie Liu, Lei Ma, Shamil Maksyutov, Gregg Marland, Nicolas Mayot, Patrick C. McGuire, Nicolas Metzl, Natalie M. Monacci, Eric J. Morgan, Shin-Ichiro Nakaoka, Craig Neill, Yosuke Niwa, Tobias Nützel, Lea Olivier, Tsuneo Ono, Paul I. Palmer, Denis Pierrot, Zhangcai Qin, Laure Resplandy, Alizée Roobaert, Thais M. Rosan, Christian Rödenbeck, Jörg Schwinger, T. Luke Smallman, Stephen M. Smith, Reinel Sospedra-Alfonso, Tobias Steinhoff, Qing Sun, Adrienne J. Sutton, Roland Séférian, Shintaro Takao, Hiroaki Tatebe, Hanqin Tian, Bronte Tilbrook, Olivier Torres, Etienne Tourigny, Hiroyuki Tsujino, Francesco Tubiello, Guido van der Werf, Rik Wanninkhof, Xuhui Wang, Dongxu Yang, Xiaojuan Yang, Zhen Yu, Wenping Yuan, Xu Yue, Sönke Zaehle, Ning Zeng, and Jiye Zeng
Earth Syst. Sci. Data, 17, 965–1039, https://doi.org/10.5194/essd-17-965-2025, https://doi.org/10.5194/essd-17-965-2025, 2025
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The Global Carbon Budget 2024 describes the methodology, main results, and datasets used to quantify the anthropogenic emissions of carbon dioxide (CO2) and their partitioning among the atmosphere, land ecosystems, and the ocean over the historical period (1750–2024). These living datasets are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Camilla Mathison, Eleanor J. Burke, Gregory Munday, Chris D. Jones, Chris J. Smith, Norman J. Steinert, Andy J. Wiltshire, Chris Huntingford, Eszter Kovacs, Laila K. Gohar, Rebecca M. Varney, and Douglas McNeall
Geosci. Model Dev., 18, 1785–1808, https://doi.org/10.5194/gmd-18-1785-2025, https://doi.org/10.5194/gmd-18-1785-2025, 2025
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We present PRIME (Probabilistic Regional Impacts from Model patterns and Emissions), which is designed to take new emissions scenarios and rapidly provide regional impact information. PRIME allows large ensembles to be run on multi-centennial timescales, including the analysis of many important variables for impact assessments. Our evaluation shows that PRIME reproduces the climate response for known scenarios, providing confidence in using PRIME for novel scenarios.
Paulo M. Fernandes, Nuno G. Guiomar, and Ana Sá
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-587, https://doi.org/10.5194/essd-2024-587, 2025
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Mapping vegetation as fuel is important for understanding and managing wildfires. Aragoneses et al. (2023) created a European fuel map, but their method has flaws. The fuel types don’t match real fire behavior, and key vegetation metrics were mapped using unreliable methods. The map’s low detail and oversimplified approach caused it to overestimate fire risk in areas with less flammable vegetation, limiting its usefulness for wildfire research and planning.
Tuula Aalto, Aki Tsuruta, Jarmo Mäkelä, Jurek Müller, Maria Tenkanen, Eleanor Burke, Sarah Chadburn, Yao Gao, Vilma Mannisenaho, Thomas Kleinen, Hanna Lee, Antti Leppänen, Tiina Markkanen, Stefano Materia, Paul A. Miller, Daniele Peano, Olli Peltola, Benjamin Poulter, Maarit Raivonen, Marielle Saunois, David Wårlind, and Sönke Zaehle
Biogeosciences, 22, 323–340, https://doi.org/10.5194/bg-22-323-2025, https://doi.org/10.5194/bg-22-323-2025, 2025
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Wetland methane responses to temperature and precipitation were studied in a boreal wetland-rich region in northern Europe using ecosystem models, atmospheric inversions, and upscaled flux observations. The ecosystem models differed in their responses to temperature and precipitation and in their seasonality. However, multi-model means, inversions, and upscaled fluxes had similar seasonality, and they suggested co-limitation by temperature and precipitation.
Raphaël d'Andrimont, Momchil Yordanov, Fernando Sedano, Astrid Verhegghen, Peter Strobl, Savvas Zachariadis, Flavia Camilleri, Alessandra Palmieri, Beatrice Eiselt, Jose Miguel Rubio Iglesias, and Marijn van der Velde
Earth Syst. Sci. Data, 16, 5723–5735, https://doi.org/10.5194/essd-16-5723-2024, https://doi.org/10.5194/essd-16-5723-2024, 2024
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The Land Use/Cover Area frame Survey (LUCAS) Copernicus 2022 is a large and systematic in situ field survey of 137 966 polygons over the European Union in 2022. The data contain 82 land cover classes and 40 land use classes.
Lucas R. Diaz, Clement J. F. Delcourt, Moritz Langer, Michael M. Loranty, Brendan M. Rogers, Rebecca C. Scholten, Tatiana A. Shestakova, Anna C. Talucci, Jorien E. Vonk, Sonam Wangchuk, and Sander Veraverbeke
Earth Syst. Dynam., 15, 1459–1482, https://doi.org/10.5194/esd-15-1459-2024, https://doi.org/10.5194/esd-15-1459-2024, 2024
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Our study in eastern Siberia investigated how fires affect permafrost thaw depth in larch forests. We found that fire induces deeper thaw, yet this process was mediated by topography and vegetation. By combining field and satellite data, we estimated summer thaw depth across an entire fire scar. This research provides insights into post-fire permafrost dynamics and the use of satellite data for mapping fire-induced permafrost thaw.
Ana Maria Roxana Petrescu, Glen P. Peters, Richard Engelen, Sander Houweling, Dominik Brunner, Aki Tsuruta, Bradley Matthews, Prabir K. Patra, Dmitry Belikov, Rona L. Thompson, Lena Höglund-Isaksson, Wenxin Zhang, Arjo J. Segers, Giuseppe Etiope, Giancarlo Ciotoli, Philippe Peylin, Frédéric Chevallier, Tuula Aalto, Robbie M. Andrew, David Bastviken, Antoine Berchet, Grégoire Broquet, Giulia Conchedda, Stijn N. C. Dellaert, Hugo Denier van der Gon, Johannes Gütschow, Jean-Matthieu Haussaire, Ronny Lauerwald, Tiina Markkanen, Jacob C. A. van Peet, Isabelle Pison, Pierre Regnier, Espen Solum, Marko Scholze, Maria Tenkanen, Francesco N. Tubiello, Guido R. van der Werf, and John R. Worden
Earth Syst. Sci. Data, 16, 4325–4350, https://doi.org/10.5194/essd-16-4325-2024, https://doi.org/10.5194/essd-16-4325-2024, 2024
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This study provides an overview of data availability from observation- and inventory-based CH4 emission estimates. It systematically compares them and provides recommendations for robust comparisons, aiming to steadily engage more parties in using observational methods to complement their UNFCCC submissions. Anticipating improvements in atmospheric modelling and observations, future developments need to resolve knowledge gaps in both approaches and to better quantify remaining uncertainty.
Henk Eskes, Athanasios Tsikerdekis, Melanie Ades, Mihai Alexe, Anna Carlin Benedictow, Yasmine Bennouna, Lewis Blake, Idir Bouarar, Simon Chabrillat, Richard Engelen, Quentin Errera, Johannes Flemming, Sebastien Garrigues, Jan Griesfeller, Vincent Huijnen, Luka Ilić, Antje Inness, John Kapsomenakis, Zak Kipling, Bavo Langerock, Augustin Mortier, Mark Parrington, Isabelle Pison, Mikko Pitkänen, Samuel Remy, Andreas Richter, Anja Schoenhardt, Michael Schulz, Valerie Thouret, Thorsten Warneke, Christos Zerefos, and Vincent-Henri Peuch
Atmos. Chem. Phys., 24, 9475–9514, https://doi.org/10.5194/acp-24-9475-2024, https://doi.org/10.5194/acp-24-9475-2024, 2024
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The Copernicus Atmosphere Monitoring Service (CAMS) provides global analyses and forecasts of aerosols and trace gases in the atmosphere. On 27 June 2023 a major upgrade, Cy48R1, became operational. Comparisons with in situ, surface remote sensing, aircraft, and balloon and satellite observations show that the new CAMS system is a significant improvement. The results quantify the skill of CAMS to forecast impactful events, such as wildfires, dust storms and air pollution peaks.
Bhupinderjeet Singh, Mingliang Liu, John Abatzoglou, Jennifer Adam, and Kirti Rajagopalan
EGUsphere, https://doi.org/10.5194/egusphere-2024-2284, https://doi.org/10.5194/egusphere-2024-2284, 2024
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Hydrology models rely on simplistic static approaches to precipitation phase partitioning. We evaluate model skill changes for a suite of snow metrics by transitioning to a more accurate dynamic partitioning. We found that the transition resulted in a better match between modeled and observed metrics, with a 50 % reduction in model bias, emphasizing the need for the hydrological modeling community to adopt dynamic partitioning.
Matthew W. Jones, Douglas I. Kelley, Chantelle A. Burton, Francesca Di Giuseppe, Maria Lucia F. Barbosa, Esther Brambleby, Andrew J. Hartley, Anna Lombardi, Guilherme Mataveli, Joe R. McNorton, Fiona R. Spuler, Jakob B. Wessel, John T. Abatzoglou, Liana O. Anderson, Niels Andela, Sally Archibald, Dolors Armenteras, Eleanor Burke, Rachel Carmenta, Emilio Chuvieco, Hamish Clarke, Stefan H. Doerr, Paulo M. Fernandes, Louis Giglio, Douglas S. Hamilton, Stijn Hantson, Sarah Harris, Piyush Jain, Crystal A. Kolden, Tiina Kurvits, Seppe Lampe, Sarah Meier, Stacey New, Mark Parrington, Morgane M. G. Perron, Yuquan Qu, Natasha S. Ribeiro, Bambang H. Saharjo, Jesus San-Miguel-Ayanz, Jacquelyn K. Shuman, Veerachai Tanpipat, Guido R. van der Werf, Sander Veraverbeke, and Gavriil Xanthopoulos
Earth Syst. Sci. Data, 16, 3601–3685, https://doi.org/10.5194/essd-16-3601-2024, https://doi.org/10.5194/essd-16-3601-2024, 2024
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This inaugural State of Wildfires report catalogues extreme fires of the 2023–2024 fire season. For key events, we analyse their predictability and drivers and attribute them to climate change and land use. We provide a seasonal outlook and decadal projections. Key anomalies occurred in Canada, Greece, and western Amazonia, with other high-impact events catalogued worldwide. Climate change significantly increased the likelihood of extreme fires, and mitigation is required to lessen future risk.
Claire L. Ryder, Clément Bézier, Helen F. Dacre, Rory Clarkson, Vassilis Amiridis, Eleni Marinou, Emmanouil Proestakis, Zak Kipling, Angela Benedetti, Mark Parrington, Samuel Rémy, and Mark Vaughan
Nat. Hazards Earth Syst. Sci., 24, 2263–2284, https://doi.org/10.5194/nhess-24-2263-2024, https://doi.org/10.5194/nhess-24-2263-2024, 2024
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Desert dust poses a hazard to aircraft via degradation of engine components. This has financial implications for the aviation industry and results in increased fuel burn with climate impacts. Here we quantify dust ingestion by aircraft engines at airports worldwide. We find Dubai and Delhi in summer are among the dustiest airports, where substantial engine degradation would occur after 1000 flights. Dust ingestion can be reduced by changing take-off times and the altitude of holding patterns.
Julia Kelly, Stefan H. Doerr, Johan Ekroos, Theresa S. Ibáñez, Md. Rafikul Islam, Cristina Santín, Margarida Soares, and Natascha Kljun
EGUsphere, https://doi.org/10.5194/egusphere-2024-2016, https://doi.org/10.5194/egusphere-2024-2016, 2024
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We measured soil carbon fluxes during the first four years after a wildfire in the Swedish boreal forest. Soil CO2 emissions decreased substantially only when trees were killed by fire or by post-fire logging, but not when trees survived the fire and were left standing. Soil methane flux was not affected by fire. Logging trees already killed by fire had no additional impact on soil carbon fluxes. Post-fire forest management strategy impacted vegetation regrowth and carbon dynamics.
Yavar Pourmohamad, John T. Abatzoglou, Erin J. Belval, Erica Fleishman, Karen Short, Matthew C. Reeves, Nicholas Nauslar, Philip E. Higuera, Eric Henderson, Sawyer Ball, Amir AghaKouchak, Jeffrey P. Prestemon, Julia Olszewski, and Mojtaba Sadegh
Earth Syst. Sci. Data, 16, 3045–3060, https://doi.org/10.5194/essd-16-3045-2024, https://doi.org/10.5194/essd-16-3045-2024, 2024
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The FPA FOD-Attributes dataset provides > 300 biological, physical, social, and administrative attributes associated with > 2.3×106 wildfire incidents across the US from 1992 to 2020. The dataset can be used to (1) answer numerous questions about the covariates associated with human- and lightning-caused wildfires and (2) support descriptive, diagnostic, predictive, and prescriptive wildfire analytics, including the development of machine learning models.
Rebecca M. Varney, Pierre Friedlingstein, Sarah E. Chadburn, Eleanor J. Burke, and Peter M. Cox
Biogeosciences, 21, 2759–2776, https://doi.org/10.5194/bg-21-2759-2024, https://doi.org/10.5194/bg-21-2759-2024, 2024
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Soil carbon is the largest store of carbon on the land surface of Earth and is known to be particularly sensitive to climate change. Understanding this future response is vital to successfully meeting Paris Agreement targets, which rely heavily on carbon uptake by the land surface. In this study, the individual responses of soil carbon are quantified and compared amongst CMIP6 Earth system models used within the most recent IPCC report, and the role of soils in the land response is highlighted.
Hanqin Tian, Naiqing Pan, Rona L. Thompson, Josep G. Canadell, Parvadha Suntharalingam, Pierre Regnier, Eric A. Davidson, Michael Prather, Philippe Ciais, Marilena Muntean, Shufen Pan, Wilfried Winiwarter, Sönke Zaehle, Feng Zhou, Robert B. Jackson, Hermann W. Bange, Sarah Berthet, Zihao Bian, Daniele Bianchi, Alexander F. Bouwman, Erik T. Buitenhuis, Geoffrey Dutton, Minpeng Hu, Akihiko Ito, Atul K. Jain, Aurich Jeltsch-Thömmes, Fortunat Joos, Sian Kou-Giesbrecht, Paul B. Krummel, Xin Lan, Angela Landolfi, Ronny Lauerwald, Ya Li, Chaoqun Lu, Taylor Maavara, Manfredi Manizza, Dylan B. Millet, Jens Mühle, Prabir K. Patra, Glen P. Peters, Xiaoyu Qin, Peter Raymond, Laure Resplandy, Judith A. Rosentreter, Hao Shi, Qing Sun, Daniele Tonina, Francesco N. Tubiello, Guido R. van der Werf, Nicolas Vuichard, Junjie Wang, Kelley C. Wells, Luke M. Western, Chris Wilson, Jia Yang, Yuanzhi Yao, Yongfa You, and Qing Zhu
Earth Syst. Sci. Data, 16, 2543–2604, https://doi.org/10.5194/essd-16-2543-2024, https://doi.org/10.5194/essd-16-2543-2024, 2024
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Atmospheric concentrations of nitrous oxide (N2O), a greenhouse gas 273 times more potent than carbon dioxide, have increased by 25 % since the preindustrial period, with the highest observed growth rate in 2020 and 2021. This rapid growth rate has primarily been due to a 40 % increase in anthropogenic emissions since 1980. Observed atmospheric N2O concentrations in recent years have exceeded the worst-case climate scenario, underscoring the importance of reducing anthropogenic N2O emissions.
Piers M. Forster, Chris Smith, Tristram Walsh, William F. Lamb, Robin Lamboll, Bradley Hall, Mathias Hauser, Aurélien Ribes, Debbie Rosen, Nathan P. Gillett, Matthew D. Palmer, Joeri Rogelj, Karina von Schuckmann, Blair Trewin, Myles Allen, Robbie Andrew, Richard A. Betts, Alex Borger, Tim Boyer, Jiddu A. Broersma, Carlo Buontempo, Samantha Burgess, Chiara Cagnazzo, Lijing Cheng, Pierre Friedlingstein, Andrew Gettelman, Johannes Gütschow, Masayoshi Ishii, Stuart Jenkins, Xin Lan, Colin Morice, Jens Mühle, Christopher Kadow, John Kennedy, Rachel E. Killick, Paul B. Krummel, Jan C. Minx, Gunnar Myhre, Vaishali Naik, Glen P. Peters, Anna Pirani, Julia Pongratz, Carl-Friedrich Schleussner, Sonia I. Seneviratne, Sophie Szopa, Peter Thorne, Mahesh V. M. Kovilakam, Elisa Majamäki, Jukka-Pekka Jalkanen, Margreet van Marle, Rachel M. Hoesly, Robert Rohde, Dominik Schumacher, Guido van der Werf, Russell Vose, Kirsten Zickfeld, Xuebin Zhang, Valérie Masson-Delmotte, and Panmao Zhai
Earth Syst. Sci. Data, 16, 2625–2658, https://doi.org/10.5194/essd-16-2625-2024, https://doi.org/10.5194/essd-16-2625-2024, 2024
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This paper tracks some key indicators of global warming through time, from 1850 through to the end of 2023. It is designed to give an authoritative estimate of global warming to date and its causes. We find that in 2023, global warming reached 1.3 °C and is increasing at over 0.2 °C per decade. This is caused by all-time-high greenhouse gas emissions.
Adrianus de Laat, Vincent Huijnen, Niels Andela, and Matthias Forkel
EGUsphere, https://doi.org/10.5194/egusphere-2024-732, https://doi.org/10.5194/egusphere-2024-732, 2024
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This study assesses state-of-the art and more advanced and innovative satellite-observation-based (bottom-up) wildfire emission estimates. They are evaluated by comparison with satellite observation of single fire emission plumes. Results indicate that more advanced fire emission estimates – more information – are more realistic but that especially for a limited number of very large fires certain differences remain – for unknown reasons.
Katie R. Blackford, Matthew Kasoar, Chantelle Burton, Eleanor Burke, Iain Colin Prentice, and Apostolos Voulgarakis
Geosci. Model Dev., 17, 3063–3079, https://doi.org/10.5194/gmd-17-3063-2024, https://doi.org/10.5194/gmd-17-3063-2024, 2024
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Peatlands are globally important stores of carbon which are being increasingly threatened by wildfires with knock-on effects on the climate system. Here we introduce a novel peat fire parameterization in the northern high latitudes to the INFERNO global fire model. Representing peat fires increases annual burnt area across the high latitudes, alongside improvements in how we capture year-to-year variation in burning and emissions.
Fiona Raphaela Spuler, Jakob Benjamin Wessel, Edward Comyn-Platt, James Varndell, and Chiara Cagnazzo
Geosci. Model Dev., 17, 1249–1269, https://doi.org/10.5194/gmd-17-1249-2024, https://doi.org/10.5194/gmd-17-1249-2024, 2024
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Before using climate models to study the impacts of climate change, bias adjustment is commonly applied to the models to ensure that they correspond with observations at a local scale. However, this can introduce undesirable distortions into the climate model. In this paper, we present an open-source python package called ibicus to enable the comparison and detailed evaluation of bias adjustment methods, facilitating their transparent and rigorous application.
Jonas Mortelmans, Anne Felsberg, Gabriëlle J. M. De Lannoy, Sander Veraverbeke, Robert D. Field, Niels Andela, and Michel Bechtold
Nat. Hazards Earth Syst. Sci., 24, 445–464, https://doi.org/10.5194/nhess-24-445-2024, https://doi.org/10.5194/nhess-24-445-2024, 2024
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With global warming increasing the frequency and intensity of wildfires in the boreal region, accurate risk assessments are becoming more crucial than ever before. The Canadian Fire Weather Index (FWI) is a renowned system, yet its effectiveness in peatlands, where hydrology plays a key role, is limited. By incorporating groundwater data from numerical models and satellite observations, our modified FWI improves the accuracy of fire danger predictions, especially over summer.
Joanne V. Hall, Fernanda Argueta, Maria Zubkova, Yang Chen, James T. Randerson, and Louis Giglio
Earth Syst. Sci. Data, 16, 867–885, https://doi.org/10.5194/essd-16-867-2024, https://doi.org/10.5194/essd-16-867-2024, 2024
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Crop-residue burning is a widespread practice often occurring close to population centers. Its recurrent nature requires accurate mapping of the area burned – a key input into air quality models. Unlike larger fires, crop fires require a specific burned area (BA) methodology, which to date has been ignored in global BA datasets. Our global cropland-focused BA product found a significant increase in global cropland BA (81 Mha annual average) compared to the widely used MCD64A1 (32 Mha).
Xiaoxia Shang, Antti Lipponen, Maria Filioglou, Anu-Maija Sundström, Mark Parrington, Virginie Buchard, Anton S. Darmenov, Ellsworth J. Welton, Eleni Marinou, Vassilis Amiridis, Michael Sicard, Alejandro Rodríguez-Gómez, Mika Komppula, and Tero Mielonen
Atmos. Chem. Phys., 24, 1329–1344, https://doi.org/10.5194/acp-24-1329-2024, https://doi.org/10.5194/acp-24-1329-2024, 2024
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In June 2019, smoke particles from a Canadian wildfire event were transported to Europe. The long-range-transported smoke plumes were monitored with a spaceborne lidar and reanalysis models. Based on the aerosol mass concentrations estimated from the observations, the reanalysis models had difficulties in reproducing the amount and location of the smoke aerosols during the transport event. Consequently, more spaceborne lidar missions are needed for reliable monitoring of aerosol plumes.
Joe R. McNorton and Francesca Di Giuseppe
Biogeosciences, 21, 279–300, https://doi.org/10.5194/bg-21-279-2024, https://doi.org/10.5194/bg-21-279-2024, 2024
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Wildfires have wide-ranging consequences for local communities, air quality and ecosystems. Vegetation amount and moisture state are key components to forecast wildfires. We developed a combined model and satellite framework to characterise vegetation, including the type of fuel, whether it is alive or dead, and its moisture content. The daily data is at high resolution globally (~9 km). Our characteristics correlate with active fire data and can inform fire danger and spread modelling efforts.
Thomas D. Hessilt, Brendan M. Rogers, Rebecca C. Scholten, Stefano Potter, Thomas A. J. Janssen, and Sander Veraverbeke
Biogeosciences, 21, 109–129, https://doi.org/10.5194/bg-21-109-2024, https://doi.org/10.5194/bg-21-109-2024, 2024
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In boreal North America, snow and frozen ground prevail in winter, while fires occur in summer. Over the last 20 years, the northwestern parts have experienced earlier snow disappearance and more ignitions. This is opposite to the southeastern parts. However, earlier ignitions following earlier snow disappearance timing led to larger fires across the region. Snow disappearance timing may be a good proxy for ignition timing and may also influence important atmospheric conditions related to fires.
Katja Frieler, Jan Volkholz, Stefan Lange, Jacob Schewe, Matthias Mengel, María del Rocío Rivas López, Christian Otto, Christopher P. O. Reyer, Dirk Nikolaus Karger, Johanna T. Malle, Simon Treu, Christoph Menz, Julia L. Blanchard, Cheryl S. Harrison, Colleen M. Petrik, Tyler D. Eddy, Kelly Ortega-Cisneros, Camilla Novaglio, Yannick Rousseau, Reg A. Watson, Charles Stock, Xiao Liu, Ryan Heneghan, Derek Tittensor, Olivier Maury, Matthias Büchner, Thomas Vogt, Tingting Wang, Fubao Sun, Inga J. Sauer, Johannes Koch, Inne Vanderkelen, Jonas Jägermeyr, Christoph Müller, Sam Rabin, Jochen Klar, Iliusi D. Vega del Valle, Gitta Lasslop, Sarah Chadburn, Eleanor Burke, Angela Gallego-Sala, Noah Smith, Jinfeng Chang, Stijn Hantson, Chantelle Burton, Anne Gädeke, Fang Li, Simon N. Gosling, Hannes Müller Schmied, Fred Hattermann, Jida Wang, Fangfang Yao, Thomas Hickler, Rafael Marcé, Don Pierson, Wim Thiery, Daniel Mercado-Bettín, Robert Ladwig, Ana Isabel Ayala-Zamora, Matthew Forrest, and Michel Bechtold
Geosci. Model Dev., 17, 1–51, https://doi.org/10.5194/gmd-17-1-2024, https://doi.org/10.5194/gmd-17-1-2024, 2024
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Our paper provides an overview of all observational climate-related and socioeconomic forcing data used as input for the impact model evaluation and impact attribution experiments within the third round of the Inter-Sectoral Impact Model Intercomparison Project. The experiments are designed to test our understanding of observed changes in natural and human systems and to quantify to what degree these changes have already been induced by climate change.
Lee de Mora, Ranjini Swaminathan, Richard P. Allan, Jerry C. Blackford, Douglas I. Kelley, Phil Harris, Chris D. Jones, Colin G. Jones, Spencer Liddicoat, Robert J. Parker, Tristan Quaife, Jeremy Walton, and Andrew Yool
Earth Syst. Dynam., 14, 1295–1315, https://doi.org/10.5194/esd-14-1295-2023, https://doi.org/10.5194/esd-14-1295-2023, 2023
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We investigate the flux of carbon from the atmosphere into the land surface and ocean for multiple models and over a range of future scenarios. We did this by comparing simulations after the same change in the global-mean near-surface temperature. Using this method, we show that the choice of scenario can impact the carbon allocation to the land, ocean, and atmosphere. Scenarios with higher emissions reach the same warming levels sooner, but also with relatively more carbon in the atmosphere.
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Dorothee C. E. Bakker, Judith Hauck, Peter Landschützer, Corinne Le Quéré, Ingrid T. Luijkx, Glen P. Peters, Wouter Peters, Julia Pongratz, Clemens Schwingshackl, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Robert B. Jackson, Simone R. Alin, Peter Anthoni, Leticia Barbero, Nicholas R. Bates, Meike Becker, Nicolas Bellouin, Bertrand Decharme, Laurent Bopp, Ida Bagus Mandhara Brasika, Patricia Cadule, Matthew A. Chamberlain, Naveen Chandra, Thi-Tuyet-Trang Chau, Frédéric Chevallier, Louise P. Chini, Margot Cronin, Xinyu Dou, Kazutaka Enyo, Wiley Evans, Stefanie Falk, Richard A. Feely, Liang Feng, Daniel J. Ford, Thomas Gasser, Josefine Ghattas, Thanos Gkritzalis, Giacomo Grassi, Luke Gregor, Nicolas Gruber, Özgür Gürses, Ian Harris, Matthew Hefner, Jens Heinke, Richard A. Houghton, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Andrew R. Jacobson, Atul Jain, Tereza Jarníková, Annika Jersild, Fei Jiang, Zhe Jin, Fortunat Joos, Etsushi Kato, Ralph F. Keeling, Daniel Kennedy, Kees Klein Goldewijk, Jürgen Knauer, Jan Ivar Korsbakken, Arne Körtzinger, Xin Lan, Nathalie Lefèvre, Hongmei Li, Junjie Liu, Zhiqiang Liu, Lei Ma, Greg Marland, Nicolas Mayot, Patrick C. McGuire, Galen A. McKinley, Gesa Meyer, Eric J. Morgan, David R. Munro, Shin-Ichiro Nakaoka, Yosuke Niwa, Kevin M. O'Brien, Are Olsen, Abdirahman M. Omar, Tsuneo Ono, Melf Paulsen, Denis Pierrot, Katie Pocock, Benjamin Poulter, Carter M. Powis, Gregor Rehder, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Thais M. Rosan, Jörg Schwinger, Roland Séférian, T. Luke Smallman, Stephen M. Smith, Reinel Sospedra-Alfonso, Qing Sun, Adrienne J. Sutton, Colm Sweeney, Shintaro Takao, Pieter P. Tans, Hanqin Tian, Bronte Tilbrook, Hiroyuki Tsujino, Francesco Tubiello, Guido R. van der Werf, Erik van Ooijen, Rik Wanninkhof, Michio Watanabe, Cathy Wimart-Rousseau, Dongxu Yang, Xiaojuan Yang, Wenping Yuan, Xu Yue, Sönke Zaehle, Jiye Zeng, and Bo Zheng
Earth Syst. Sci. Data, 15, 5301–5369, https://doi.org/10.5194/essd-15-5301-2023, https://doi.org/10.5194/essd-15-5301-2023, 2023
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The Global Carbon Budget 2023 describes the methodology, main results, and data sets used to quantify the anthropogenic emissions of carbon dioxide (CO2) and their partitioning among the atmosphere, land ecosystems, and the ocean over the historical period (1750–2023). These living datasets are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Yang Chen, Joanne Hall, Dave van Wees, Niels Andela, Stijn Hantson, Louis Giglio, Guido R. van der Werf, Douglas C. Morton, and James T. Randerson
Earth Syst. Sci. Data, 15, 5227–5259, https://doi.org/10.5194/essd-15-5227-2023, https://doi.org/10.5194/essd-15-5227-2023, 2023
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Using multiple sets of remotely sensed data, we created a dataset of monthly global burned area from 1997 to 2020. The estimated annual global burned area is 774 million hectares, significantly higher than previous estimates. Burned area declined by 1.21% per year due to extensive fire loss in savanna, grassland, and cropland ecosystems. This study enhances our understanding of the impact of fire on the carbon cycle and climate system, and may improve the predictions of future fire changes.
Roland Vernooij, Tom Eames, Jeremy Russell-Smith, Cameron Yates, Robin Beatty, Jay Evans, Andrew Edwards, Natasha Ribeiro, Martin Wooster, Tercia Strydom, Marcos Vinicius Giongo, Marco Assis Borges, Máximo Menezes Costa, Ana Carolina Sena Barradas, Dave van Wees, and Guido R. Van der Werf
Earth Syst. Dynam., 14, 1039–1064, https://doi.org/10.5194/esd-14-1039-2023, https://doi.org/10.5194/esd-14-1039-2023, 2023
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Savannas account for over half of global landscape fire emissions. Although environmental and fuel conditions affect the ratio of species the fire emits, these dynamics have not been implemented in global models. We measured CO2, CO, CH4, and N2O emission factors (EFs), fuel parameters, and fire severity proxies during 129 individual fires. We identified EF patterns and trained models to estimate EFs of these species based on satellite observations, reducing the estimation error by 60–85 %.
Matthew J. McGrath, Ana Maria Roxana Petrescu, Philippe Peylin, Robbie M. Andrew, Bradley Matthews, Frank Dentener, Juraj Balkovič, Vladislav Bastrikov, Meike Becker, Gregoire Broquet, Philippe Ciais, Audrey Fortems-Cheiney, Raphael Ganzenmüller, Giacomo Grassi, Ian Harris, Matthew Jones, Jürgen Knauer, Matthias Kuhnert, Guillaume Monteil, Saqr Munassar, Paul I. Palmer, Glen P. Peters, Chunjing Qiu, Mart-Jan Schelhaas, Oksana Tarasova, Matteo Vizzarri, Karina Winkler, Gianpaolo Balsamo, Antoine Berchet, Peter Briggs, Patrick Brockmann, Frédéric Chevallier, Giulia Conchedda, Monica Crippa, Stijn N. C. Dellaert, Hugo A. C. Denier van der Gon, Sara Filipek, Pierre Friedlingstein, Richard Fuchs, Michael Gauss, Christoph Gerbig, Diego Guizzardi, Dirk Günther, Richard A. Houghton, Greet Janssens-Maenhout, Ronny Lauerwald, Bas Lerink, Ingrid T. Luijkx, Géraud Moulas, Marilena Muntean, Gert-Jan Nabuurs, Aurélie Paquirissamy, Lucia Perugini, Wouter Peters, Roberto Pilli, Julia Pongratz, Pierre Regnier, Marko Scholze, Yusuf Serengil, Pete Smith, Efisio Solazzo, Rona L. Thompson, Francesco N. Tubiello, Timo Vesala, and Sophia Walther
Earth Syst. Sci. Data, 15, 4295–4370, https://doi.org/10.5194/essd-15-4295-2023, https://doi.org/10.5194/essd-15-4295-2023, 2023
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Accurate estimation of fluxes of carbon dioxide from the land surface is essential for understanding future impacts of greenhouse gas emissions on the climate system. A wide variety of methods currently exist to estimate these sources and sinks. We are continuing work to develop annual comparisons of these diverse methods in order to clarify what they all actually calculate and to resolve apparent disagreement, in addition to highlighting opportunities for increased understanding.
Sebastien Garrigues, Melanie Ades, Samuel Remy, Johannes Flemming, Zak Kipling, Istvan Laszlo, Mark Parrington, Antje Inness, Roberto Ribas, Luke Jones, Richard Engelen, and Vincent-Henri Peuch
Atmos. Chem. Phys., 23, 10473–10487, https://doi.org/10.5194/acp-23-10473-2023, https://doi.org/10.5194/acp-23-10473-2023, 2023
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The Copernicus Atmosphere Monitoring Service (CAMS) provides global monitoring of aerosols using the ECMWF forecast model constrained by the assimilation of satellite aerosol optical depth (AOD). This work aims at evaluating the assimilation of the NOAA VIIRS AOD product in the ECMWF model. It shows that the introduction of VIIRS in the CAMS data assimilation system enhances the accuracy of the aerosol analysis, particularly over Europe and desert and maritime sites.
Lilian Vallet, Martin Schwartz, Philippe Ciais, Dave van Wees, Aurelien de Truchis, and Florent Mouillot
Biogeosciences, 20, 3803–3825, https://doi.org/10.5194/bg-20-3803-2023, https://doi.org/10.5194/bg-20-3803-2023, 2023
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This study analyzes the ecological impact of the 2022 summer fire season in France by using high-resolution satellite data. The total biomass loss was 2.553 Mt, equivalent to a 17 % increase of the average natural mortality of all French forests. While Mediterranean forests had a lower biomass loss, there was a drastic increase in burned area and biomass loss over the Atlantic pine forests and temperate forests. This result revisits the distinctiveness of the 2022 fire season.
Rebecca M. Varney, Sarah E. Chadburn, Eleanor J. Burke, Simon Jones, Andy J. Wiltshire, and Peter M. Cox
Biogeosciences, 20, 3767–3790, https://doi.org/10.5194/bg-20-3767-2023, https://doi.org/10.5194/bg-20-3767-2023, 2023
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This study evaluates soil carbon projections during the 21st century in CMIP6 Earth system models. In general, we find a reduced spread of changes in global soil carbon in CMIP6 compared to the previous CMIP5 generation. The reduced CMIP6 spread arises from an emergent relationship between soil carbon changes due to change in plant productivity and soil carbon changes due to changes in turnover time. We show that this relationship is consistent with false priming under transient climate change.
Joao Carlos Martins Teixeira, Chantelle Burton, Douglas I. Kelly, Gerd A. Folberth, Fiona M. O'Connor, Richard A. Betts, and Apostolos Voulgarakis
Biogeosciences Discuss., https://doi.org/10.5194/bg-2023-136, https://doi.org/10.5194/bg-2023-136, 2023
Revised manuscript not accepted
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Representing socio-economic impacts on fires is crucial to underpin the confidence in global fire models. Introducing these into INFERNO, reduces biases and improves the modelled burnt area (BA) trends when compared to observations. Including socio-economic factors in the representation of fires in Earth System Models is important for realistically simulating BA, quantifying trends in the recent past, and for understanding the main drivers of those at regional scales.
Akli Benali, Nuno Guiomar, Hugo Gonçalves, Bernardo Mota, Fábio Silva, Paulo M. Fernandes, Carlos Mota, Alexandre Penha, João Santos, José M. C. Pereira, and Ana C. L. Sá
Earth Syst. Sci. Data, 15, 3791–3818, https://doi.org/10.5194/essd-15-3791-2023, https://doi.org/10.5194/essd-15-3791-2023, 2023
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We reconstructed the spread of 80 large wildfires that burned recently in Portugal and calculated metrics that describe how wildfires behave, such as rate of spread, growth rate, and energy released. We describe the fire behaviour distribution using six percentile intervals that can be easily communicated to both research and management communities. The database will help improve our current knowledge on wildfire behaviour and support better decision making.
Camilla Mathison, Eleanor Burke, Andrew J. Hartley, Douglas I. Kelley, Chantelle Burton, Eddy Robertson, Nicola Gedney, Karina Williams, Andy Wiltshire, Richard J. Ellis, Alistair A. Sellar, and Chris D. Jones
Geosci. Model Dev., 16, 4249–4264, https://doi.org/10.5194/gmd-16-4249-2023, https://doi.org/10.5194/gmd-16-4249-2023, 2023
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This paper describes and evaluates a new modelling methodology to quantify the impacts of climate change on water, biomes and the carbon cycle. We have created a new configuration and set-up for the JULES-ES land surface model, driven by bias-corrected historical and future climate model output provided by the Inter-Sectoral Impacts Model Intercomparison Project (ISIMIP). This allows us to compare projections of the impacts of climate change across multiple impact models and multiple sectors.
Stefano Potter, Sol Cooperdock, Sander Veraverbeke, Xanthe Walker, Michelle C. Mack, Scott J. Goetz, Jennifer Baltzer, Laura Bourgeau-Chavez, Arden Burrell, Catherine Dieleman, Nancy French, Stijn Hantson, Elizabeth E. Hoy, Liza Jenkins, Jill F. Johnstone, Evan S. Kane, Susan M. Natali, James T. Randerson, Merritt R. Turetsky, Ellen Whitman, Elizabeth Wiggins, and Brendan M. Rogers
Biogeosciences, 20, 2785–2804, https://doi.org/10.5194/bg-20-2785-2023, https://doi.org/10.5194/bg-20-2785-2023, 2023
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Here we developed a new burned-area detection algorithm between 2001–2019 across Alaska and Canada at 500 m resolution. We estimate 2.37 Mha burned annually between 2001–2019 over the domain, emitting 79.3 Tg C per year, with a mean combustion rate of 3.13 kg C m−2. We found larger-fire years were generally associated with greater mean combustion. The burned-area and combustion datasets described here can be used for local- to continental-scale applications of boreal fire science.
Carolina Gallo, Jonathan M. Eden, Bastien Dieppois, Igor Drobyshev, Peter Z. Fulé, Jesús San-Miguel-Ayanz, and Matthew Blackett
Geosci. Model Dev., 16, 3103–3122, https://doi.org/10.5194/gmd-16-3103-2023, https://doi.org/10.5194/gmd-16-3103-2023, 2023
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This study conducts the first global evaluation of the latest generation of global climate models to simulate a set of fire weather indicators from the Canadian Fire Weather Index System. Models are shown to perform relatively strongly at the global scale, but they show substantial regional and seasonal differences. The results demonstrate the value of model evaluation and selection in producing reliable fire danger projections, ultimately to support decision-making and forest management.
Anna Agustí-Panareda, Jérôme Barré, Sébastien Massart, Antje Inness, Ilse Aben, Melanie Ades, Bianca C. Baier, Gianpaolo Balsamo, Tobias Borsdorff, Nicolas Bousserez, Souhail Boussetta, Michael Buchwitz, Luca Cantarello, Cyril Crevoisier, Richard Engelen, Henk Eskes, Johannes Flemming, Sébastien Garrigues, Otto Hasekamp, Vincent Huijnen, Luke Jones, Zak Kipling, Bavo Langerock, Joe McNorton, Nicolas Meilhac, Stefan Noël, Mark Parrington, Vincent-Henri Peuch, Michel Ramonet, Miha Razinger, Maximilian Reuter, Roberto Ribas, Martin Suttie, Colm Sweeney, Jérôme Tarniewicz, and Lianghai Wu
Atmos. Chem. Phys., 23, 3829–3859, https://doi.org/10.5194/acp-23-3829-2023, https://doi.org/10.5194/acp-23-3829-2023, 2023
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We present a global dataset of atmospheric CO2 and CH4, the two most important human-made greenhouse gases, which covers almost 2 decades (2003–2020). It is produced by combining satellite data of CO2 and CH4 with a weather and air composition prediction model, and it has been carefully evaluated against independent observations to ensure validity and point out deficiencies to the user. This dataset can be used for scientific studies in the field of climate change and the global carbon cycle.
Kandice L. Harper, Céline Lamarche, Andrew Hartley, Philippe Peylin, Catherine Ottlé, Vladislav Bastrikov, Rodrigo San Martín, Sylvia I. Bohnenstengel, Grit Kirches, Martin Boettcher, Roman Shevchuk, Carsten Brockmann, and Pierre Defourny
Earth Syst. Sci. Data, 15, 1465–1499, https://doi.org/10.5194/essd-15-1465-2023, https://doi.org/10.5194/essd-15-1465-2023, 2023
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We built a spatially explicit annual plant-functional-type (PFT) dataset for 1992–2020 exhibiting intra-class spatial variability in PFT fractional cover at 300 m. For each year, 14 maps of percentage cover are produced: bare soil, water, permanent snow/ice, built, managed grasses, natural grasses, and trees and shrubs, each split into leaf type and seasonality. Model simulations indicate significant differences in simulated carbon, water, and energy fluxes in some regions using this new set.
Elena Aragoneses, Mariano García, Michele Salis, Luís M. Ribeiro, and Emilio Chuvieco
Earth Syst. Sci. Data, 15, 1287–1315, https://doi.org/10.5194/essd-15-1287-2023, https://doi.org/10.5194/essd-15-1287-2023, 2023
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We present a new hierarchical fuel classification system with a total of 85 fuels that is useful for preventing fire risk at different spatial scales. Based on this, we developed a European fuel map (1 km resolution) using land cover datasets, biogeographic datasets, and bioclimatic modelling. We validated the map by comparing it to high-resolution data, obtaining high overall accuracy. Finally, we developed a crosswalk for standard fuel models as a first assignment of fuel parameters.
Ana Maria Roxana Petrescu, Chunjing Qiu, Matthew J. McGrath, Philippe Peylin, Glen P. Peters, Philippe Ciais, Rona L. Thompson, Aki Tsuruta, Dominik Brunner, Matthias Kuhnert, Bradley Matthews, Paul I. Palmer, Oksana Tarasova, Pierre Regnier, Ronny Lauerwald, David Bastviken, Lena Höglund-Isaksson, Wilfried Winiwarter, Giuseppe Etiope, Tuula Aalto, Gianpaolo Balsamo, Vladislav Bastrikov, Antoine Berchet, Patrick Brockmann, Giancarlo Ciotoli, Giulia Conchedda, Monica Crippa, Frank Dentener, Christine D. Groot Zwaaftink, Diego Guizzardi, Dirk Günther, Jean-Matthieu Haussaire, Sander Houweling, Greet Janssens-Maenhout, Massaer Kouyate, Adrian Leip, Antti Leppänen, Emanuele Lugato, Manon Maisonnier, Alistair J. Manning, Tiina Markkanen, Joe McNorton, Marilena Muntean, Gabriel D. Oreggioni, Prabir K. Patra, Lucia Perugini, Isabelle Pison, Maarit T. Raivonen, Marielle Saunois, Arjo J. Segers, Pete Smith, Efisio Solazzo, Hanqin Tian, Francesco N. Tubiello, Timo Vesala, Guido R. van der Werf, Chris Wilson, and Sönke Zaehle
Earth Syst. Sci. Data, 15, 1197–1268, https://doi.org/10.5194/essd-15-1197-2023, https://doi.org/10.5194/essd-15-1197-2023, 2023
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This study updates the state-of-the-art scientific overview of CH4 and N2O emissions in the EU27 and UK in Petrescu et al. (2021a). Yearly updates are needed to improve the different respective approaches and to inform on the development of formal verification systems. It integrates the most recent emission inventories, process-based model and regional/global inversions, comparing them with UNFCCC national GHG inventories, in support to policy to facilitate real-time verification procedures.
Jane P. Mulcahy, Colin G. Jones, Steven T. Rumbold, Till Kuhlbrodt, Andrea J. Dittus, Edward W. Blockley, Andrew Yool, Jeremy Walton, Catherine Hardacre, Timothy Andrews, Alejandro Bodas-Salcedo, Marc Stringer, Lee de Mora, Phil Harris, Richard Hill, Doug Kelley, Eddy Robertson, and Yongming Tang
Geosci. Model Dev., 16, 1569–1600, https://doi.org/10.5194/gmd-16-1569-2023, https://doi.org/10.5194/gmd-16-1569-2023, 2023
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Recent global climate models simulate historical global mean surface temperatures which are too cold, possibly to due to excessive aerosol cooling. This raises questions about the models' ability to simulate important climate processes and reduces confidence in future climate predictions. We present a new version of the UK Earth System Model, which has an improved aerosols simulation and a historical temperature record. Interestingly, the long-term response to CO2 remains largely unchanged.
Jose V. Moris, Pedro Álvarez-Álvarez, Marco Conedera, Annalie Dorph, Thomas D. Hessilt, Hugh G. P. Hunt, Renata Libonati, Lucas S. Menezes, Mortimer M. Müller, Francisco J. Pérez-Invernón, Gianni B. Pezzatti, Nicolau Pineda, Rebecca C. Scholten, Sander Veraverbeke, B. Mike Wotton, and Davide Ascoli
Earth Syst. Sci. Data, 15, 1151–1163, https://doi.org/10.5194/essd-15-1151-2023, https://doi.org/10.5194/essd-15-1151-2023, 2023
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This work describes a database on holdover times of lightning-ignited wildfires (LIWs). Holdover time is defined as the time between lightning-induced fire ignition and fire detection. The database contains 42 datasets built with data on more than 152 375 LIWs from 13 countries in five continents from 1921 to 2020. This database is the first freely-available, harmonized and ready-to-use global source of holdover time data, which may be used to investigate LIWs and model the holdover phenomenon.
Yao Gao, Eleanor J. Burke, Sarah E. Chadburn, Maarit Raivonen, Mika Aurela, Lawrence B. Flanagan, Krzysztof Fortuniak, Elyn Humphreys, Annalea Lohila, Tingting Li, Tiina Markkanen, Olli Nevalainen, Mats B. Nilsson, Włodzimierz Pawlak, Aki Tsuruta, Huiyi Yang, and Tuula Aalto
Biogeosciences Discuss., https://doi.org/10.5194/bg-2022-229, https://doi.org/10.5194/bg-2022-229, 2022
Manuscript not accepted for further review
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We coupled a process-based peatland CH4 emission model HIMMELI with a state-of-art land surface model JULES. The performance of the coupled model was evaluated at six northern wetland sites. The coupled model is considered to be more appropriate in simulating wetland CH4 emission. In order to improve the simulated CH4 emission, the model requires better representation of the peat soil carbon and hydrologic processes in JULES and the methane production and transportation processes in HIMMELI.
Robert J. Parker, Chris Wilson, Edward Comyn-Platt, Garry Hayman, Toby R. Marthews, A. Anthony Bloom, Mark F. Lunt, Nicola Gedney, Simon J. Dadson, Joe McNorton, Neil Humpage, Hartmut Boesch, Martyn P. Chipperfield, Paul I. Palmer, and Dai Yamazaki
Biogeosciences, 19, 5779–5805, https://doi.org/10.5194/bg-19-5779-2022, https://doi.org/10.5194/bg-19-5779-2022, 2022
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Wetlands are the largest natural source of methane, one of the most important climate gases. The JULES land surface model simulates these emissions. We use satellite data to evaluate how well JULES reproduces the methane seasonal cycle over different tropical wetlands. It performs well for most regions; however, it struggles for some African wetlands influenced heavily by river flooding. We explain the reasons for these deficiencies and highlight how future development will improve these areas.
Dave van Wees, Guido R. van der Werf, James T. Randerson, Brendan M. Rogers, Yang Chen, Sander Veraverbeke, Louis Giglio, and Douglas C. Morton
Geosci. Model Dev., 15, 8411–8437, https://doi.org/10.5194/gmd-15-8411-2022, https://doi.org/10.5194/gmd-15-8411-2022, 2022
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We present a global fire emission model based on the GFED model framework with a spatial resolution of 500 m. The higher resolution allowed for a more detailed representation of spatial heterogeneity in fuels and emissions. Specific modules were developed to model, for example, emissions from fire-related forest loss and belowground burning. Results from the 500 m model were compared to GFED4s, showing that global emissions were relatively similar but that spatial differences were substantial.
Sebastien Garrigues, Samuel Remy, Julien Chimot, Melanie Ades, Antje Inness, Johannes Flemming, Zak Kipling, Istvan Laszlo, Angela Benedetti, Roberto Ribas, Soheila Jafariserajehlou, Bertrand Fougnie, Shobha Kondragunta, Richard Engelen, Vincent-Henri Peuch, Mark Parrington, Nicolas Bousserez, Margarita Vazquez Navarro, and Anna Agusti-Panareda
Atmos. Chem. Phys., 22, 14657–14692, https://doi.org/10.5194/acp-22-14657-2022, https://doi.org/10.5194/acp-22-14657-2022, 2022
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The Copernicus Atmosphere Monitoring Service (CAMS) provides global monitoring of aerosols using the ECMWF forecast model constrained by the assimilation of satellite aerosol optical depth (AOD). This work aims at evaluating two new satellite AODs to enhance the CAMS aerosol global forecast. It highlights the spatial and temporal differences between the satellite AOD products at the model spatial resolution, which is essential information to design multi-satellite AOD data assimilation schemes.
Longlei Li, Natalie M. Mahowald, Jasper F. Kok, Xiaohong Liu, Mingxuan Wu, Danny M. Leung, Douglas S. Hamilton, Louisa K. Emmons, Yue Huang, Neil Sexton, Jun Meng, and Jessica Wan
Geosci. Model Dev., 15, 8181–8219, https://doi.org/10.5194/gmd-15-8181-2022, https://doi.org/10.5194/gmd-15-8181-2022, 2022
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This study advances mineral dust parameterizations in the Community Atmospheric Model (CAM; version 6.1). Efforts include 1) incorporating a more physically based dust emission scheme; 2) updating the dry deposition scheme; and 3) revising the gravitational settling velocity to account for dust asphericity. Substantial improvements achieved with these updates can help accurately quantify dust–climate interactions using CAM, such as the dust-radiation and dust–cloud interactions.
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Luke Gregor, Judith Hauck, Corinne Le Quéré, Ingrid T. Luijkx, Are Olsen, Glen P. Peters, Wouter Peters, Julia Pongratz, Clemens Schwingshackl, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Robert B. Jackson, Simone R. Alin, Ramdane Alkama, Almut Arneth, Vivek K. Arora, Nicholas R. Bates, Meike Becker, Nicolas Bellouin, Henry C. Bittig, Laurent Bopp, Frédéric Chevallier, Louise P. Chini, Margot Cronin, Wiley Evans, Stefanie Falk, Richard A. Feely, Thomas Gasser, Marion Gehlen, Thanos Gkritzalis, Lucas Gloege, Giacomo Grassi, Nicolas Gruber, Özgür Gürses, Ian Harris, Matthew Hefner, Richard A. Houghton, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Atul K. Jain, Annika Jersild, Koji Kadono, Etsushi Kato, Daniel Kennedy, Kees Klein Goldewijk, Jürgen Knauer, Jan Ivar Korsbakken, Peter Landschützer, Nathalie Lefèvre, Keith Lindsay, Junjie Liu, Zhu Liu, Gregg Marland, Nicolas Mayot, Matthew J. McGrath, Nicolas Metzl, Natalie M. Monacci, David R. Munro, Shin-Ichiro Nakaoka, Yosuke Niwa, Kevin O'Brien, Tsuneo Ono, Paul I. Palmer, Naiqing Pan, Denis Pierrot, Katie Pocock, Benjamin Poulter, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Carmen Rodriguez, Thais M. Rosan, Jörg Schwinger, Roland Séférian, Jamie D. Shutler, Ingunn Skjelvan, Tobias Steinhoff, Qing Sun, Adrienne J. Sutton, Colm Sweeney, Shintaro Takao, Toste Tanhua, Pieter P. Tans, Xiangjun Tian, Hanqin Tian, Bronte Tilbrook, Hiroyuki Tsujino, Francesco Tubiello, Guido R. van der Werf, Anthony P. Walker, Rik Wanninkhof, Chris Whitehead, Anna Willstrand Wranne, Rebecca Wright, Wenping Yuan, Chao Yue, Xu Yue, Sönke Zaehle, Jiye Zeng, and Bo Zheng
Earth Syst. Sci. Data, 14, 4811–4900, https://doi.org/10.5194/essd-14-4811-2022, https://doi.org/10.5194/essd-14-4811-2022, 2022
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The Global Carbon Budget 2022 describes the datasets and methodology used to quantify the anthropogenic emissions of carbon dioxide (CO2) and their partitioning among the atmosphere, the land ecosystems, and the ocean. These living datasets are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Antje Inness, Ilse Aben, Melanie Ades, Tobias Borsdorff, Johannes Flemming, Luke Jones, Jochen Landgraf, Bavo Langerock, Philippe Nedelec, Mark Parrington, and Roberto Ribas
Atmos. Chem. Phys., 22, 14355–14376, https://doi.org/10.5194/acp-22-14355-2022, https://doi.org/10.5194/acp-22-14355-2022, 2022
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The Copernicus Atmosphere Monitoring Service (CAMS) provides daily global air quality forecasts to users worldwide. One of the species of interest is carbon monoxide (CO), an important trace gas in the atmosphere with anthropogenic and natural sources, produced by incomplete combustion, for example, by wildfires. This paper looks at how well CAMS can model CO in the atmosphere and shows that the fields can be improved when blending CO data from the TROPOMI instrument with the CAMS model.
Rebecca M. Varney, Sarah E. Chadburn, Eleanor J. Burke, and Peter M. Cox
Biogeosciences, 19, 4671–4704, https://doi.org/10.5194/bg-19-4671-2022, https://doi.org/10.5194/bg-19-4671-2022, 2022
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Soil carbon is the Earth’s largest terrestrial carbon store, and the response to climate change represents one of the key uncertainties in obtaining accurate global carbon budgets required to successfully militate against climate change. The ability of climate models to simulate present-day soil carbon is therefore vital. This study assesses soil carbon simulation in the latest ensemble of models which allows key areas for future model development to be identified.
Clement Jean Frédéric Delcourt and Sander Veraverbeke
Biogeosciences, 19, 4499–4520, https://doi.org/10.5194/bg-19-4499-2022, https://doi.org/10.5194/bg-19-4499-2022, 2022
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This study provides new equations that can be used to estimate aboveground tree biomass in larch-dominated forests of northeast Siberia. Applying these equations to 53 forest stands in the Republic of Sakha (Russia) resulted in significantly larger biomass stocks than when using existing equations. The data presented in this work can help refine biomass estimates in Siberian boreal forests. This is essential to assess changes in boreal vegetation and carbon dynamics.
Fátima Arrogante-Funes, Inmaculada Aguado, and Emilio Chuvieco
Nat. Hazards Earth Syst. Sci., 22, 2981–3003, https://doi.org/10.5194/nhess-22-2981-2022, https://doi.org/10.5194/nhess-22-2981-2022, 2022
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We show that ecological value might be reduced by 50 % due to fire perturbation in ecosystems that have not developed in the presence of fire and/or that present changes in the fire regime. The biomes most affected are tropical and subtropical forests, tundra, and mangroves. Integration of biotic and abiotic fire regime and regeneration factors resulted in a powerful way to map ecological vulnerability to fire and develop assessments to generate adaptation plans of management in forest masses.
Qirui Zhong, Nick Schutgens, Guido van der Werf, Twan van Noije, Kostas Tsigaridis, Susanne E. Bauer, Tero Mielonen, Alf Kirkevåg, Øyvind Seland, Harri Kokkola, Ramiro Checa-Garcia, David Neubauer, Zak Kipling, Hitoshi Matsui, Paul Ginoux, Toshihiko Takemura, Philippe Le Sager, Samuel Rémy, Huisheng Bian, Mian Chin, Kai Zhang, Jialei Zhu, Svetlana G. Tsyro, Gabriele Curci, Anna Protonotariou, Ben Johnson, Joyce E. Penner, Nicolas Bellouin, Ragnhild B. Skeie, and Gunnar Myhre
Atmos. Chem. Phys., 22, 11009–11032, https://doi.org/10.5194/acp-22-11009-2022, https://doi.org/10.5194/acp-22-11009-2022, 2022
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Aerosol optical depth (AOD) errors for biomass burning aerosol (BBA) are evaluated in 18 global models against satellite datasets. Notwithstanding biases in satellite products, they allow model evaluations. We observe large and diverse model biases due to errors in BBA. Further interpretations of AOD diversities suggest large biases exist in key processes for BBA which require better constraining. These results can contribute to further model improvement and development.
Amar Halifa-Marín, Miguel A. Torres-Vázquez, Enrique Pravia-Sarabia, Marc Lemus-Canovas, Pedro Jiménez-Guerrero, and Juan Pedro Montávez
Hydrol. Earth Syst. Sci., 26, 4251–4263, https://doi.org/10.5194/hess-26-4251-2022, https://doi.org/10.5194/hess-26-4251-2022, 2022
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Near-natural Iberian water resources have suddenly decreased since the 1980s. These declines have been promoted by the weakening (enhancement) of wintertime precipitation (the NAOi) in the most humid areas, whereas afforestation and drought intensification have played a crucial role in semi-arid areas. Future water management would benefit from greater knowledge of North Atlantic climate variability and reforestation/afforestation processes in semi-arid catchments.
Roland Vernooij, Patrik Winiger, Martin Wooster, Tercia Strydom, Laurent Poulain, Ulrike Dusek, Mark Grosvenor, Gareth J. Roberts, Nick Schutgens, and Guido R. van der Werf
Atmos. Meas. Tech., 15, 4271–4294, https://doi.org/10.5194/amt-15-4271-2022, https://doi.org/10.5194/amt-15-4271-2022, 2022
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Landscape fires are a substantial emitter of greenhouse gases and aerosols. Previous studies have indicated savanna emission factors to be highly variable. Improving fire emission estimates, and understanding future climate- and human-induced changes in fire regimes, requires in situ measurements. We present a drone-based method that enables the collection of a large amount of high-quality emission factor measurements that do not have the biases of aircraft or surface measurements.
Abby C. Lute, John Abatzoglou, and Timothy Link
Geosci. Model Dev., 15, 5045–5071, https://doi.org/10.5194/gmd-15-5045-2022, https://doi.org/10.5194/gmd-15-5045-2022, 2022
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We developed a snow model that can be used to quantify snowpack over large areas with a high degree of spatial detail. We ran the model over the western United States, creating a snow and climate dataset for three time periods. Compared to observations of snowpack, the model captured the key aspects of snow across time and space. The model and dataset will be useful in understanding historical and future changes in snowpack, with relevance to water resources, agriculture, and ecosystems.
Joe McNorton, Nicolas Bousserez, Anna Agustí-Panareda, Gianpaolo Balsamo, Luca Cantarello, Richard Engelen, Vincent Huijnen, Antje Inness, Zak Kipling, Mark Parrington, and Roberto Ribas
Atmos. Chem. Phys., 22, 5961–5981, https://doi.org/10.5194/acp-22-5961-2022, https://doi.org/10.5194/acp-22-5961-2022, 2022
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Concentrations of atmospheric methane continue to grow, in recent years at an increasing rate, for unknown reasons. Using newly available satellite observations and a state-of-the-art weather prediction model we perform global estimates of emissions from hotspots at high resolution. Results show that the system can accurately report on biases in national inventories and is used to conclude that the early COVID-19 slowdown period (March–June 2020) had little impact on global methane emissions.
Noah D. Smith, Eleanor J. Burke, Kjetil Schanke Aas, Inge H. J. Althuizen, Julia Boike, Casper Tai Christiansen, Bernd Etzelmüller, Thomas Friborg, Hanna Lee, Heather Rumbold, Rachael H. Turton, Sebastian Westermann, and Sarah E. Chadburn
Geosci. Model Dev., 15, 3603–3639, https://doi.org/10.5194/gmd-15-3603-2022, https://doi.org/10.5194/gmd-15-3603-2022, 2022
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The Arctic has large areas of small mounds that are caused by ice lifting up the soil. Snow blown by wind gathers in hollows next to these mounds, insulating them in winter. The hollows tend to be wetter, and thus the soil absorbs more heat in summer. The warm wet soil in the hollows decomposes, releasing methane. We have made a model of this, and we have tested how it behaves and whether it looks like sites in Scandinavia and Siberia. Sometimes we get more methane than a model without mounds.
Pierre Friedlingstein, Matthew W. Jones, Michael O'Sullivan, Robbie M. Andrew, Dorothee C. E. Bakker, Judith Hauck, Corinne Le Quéré, Glen P. Peters, Wouter Peters, Julia Pongratz, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Rob B. Jackson, Simone R. Alin, Peter Anthoni, Nicholas R. Bates, Meike Becker, Nicolas Bellouin, Laurent Bopp, Thi Tuyet Trang Chau, Frédéric Chevallier, Louise P. Chini, Margot Cronin, Kim I. Currie, Bertrand Decharme, Laique M. Djeutchouang, Xinyu Dou, Wiley Evans, Richard A. Feely, Liang Feng, Thomas Gasser, Dennis Gilfillan, Thanos Gkritzalis, Giacomo Grassi, Luke Gregor, Nicolas Gruber, Özgür Gürses, Ian Harris, Richard A. Houghton, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Ingrid T. Luijkx, Atul Jain, Steve D. Jones, Etsushi Kato, Daniel Kennedy, Kees Klein Goldewijk, Jürgen Knauer, Jan Ivar Korsbakken, Arne Körtzinger, Peter Landschützer, Siv K. Lauvset, Nathalie Lefèvre, Sebastian Lienert, Junjie Liu, Gregg Marland, Patrick C. McGuire, Joe R. Melton, David R. Munro, Julia E. M. S. Nabel, Shin-Ichiro Nakaoka, Yosuke Niwa, Tsuneo Ono, Denis Pierrot, Benjamin Poulter, Gregor Rehder, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Thais M. Rosan, Jörg Schwinger, Clemens Schwingshackl, Roland Séférian, Adrienne J. Sutton, Colm Sweeney, Toste Tanhua, Pieter P. Tans, Hanqin Tian, Bronte Tilbrook, Francesco Tubiello, Guido R. van der Werf, Nicolas Vuichard, Chisato Wada, Rik Wanninkhof, Andrew J. Watson, David Willis, Andrew J. Wiltshire, Wenping Yuan, Chao Yue, Xu Yue, Sönke Zaehle, and Jiye Zeng
Earth Syst. Sci. Data, 14, 1917–2005, https://doi.org/10.5194/essd-14-1917-2022, https://doi.org/10.5194/essd-14-1917-2022, 2022
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The Global Carbon Budget 2021 describes the data sets and methodology used to quantify the emissions of carbon dioxide and their partitioning among the atmosphere, land, and ocean. These living data are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Rahayu Adzhar, Douglas I. Kelley, Ning Dong, Charles George, Mireia Torello Raventos, Elmar Veenendaal, Ted R. Feldpausch, Oliver L. Phillips, Simon L. Lewis, Bonaventure Sonké, Herman Taedoumg, Beatriz Schwantes Marimon, Tomas Domingues, Luzmila Arroyo, Gloria Djagbletey, Gustavo Saiz, and France Gerard
Biogeosciences, 19, 1377–1394, https://doi.org/10.5194/bg-19-1377-2022, https://doi.org/10.5194/bg-19-1377-2022, 2022
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The MODIS Vegetation Continuous Fields (VCF) product underestimates tree cover compared to field data and could be underestimating tree cover significantly across the tropics. VCF is used to represent land cover or validate model performance in many land surface and global vegetation models and to train finer-scaled Earth observation products. Because underestimation in VCF may render it unsuitable for training data and bias model predictions, it should be calibrated before use in the tropics.
Roland Vernooij, Ulrike Dusek, Maria Elena Popa, Peng Yao, Anupam Shaikat, Chenxi Qiu, Patrik Winiger, Carina van der Veen, Thomas Callum Eames, Natasha Ribeiro, and Guido R. van der Werf
Atmos. Chem. Phys., 22, 2871–2890, https://doi.org/10.5194/acp-22-2871-2022, https://doi.org/10.5194/acp-22-2871-2022, 2022
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Landscape fires are a major source of greenhouse gases and aerosols, particularly in sub-tropical savannas. Stable carbon isotopes in emissions can be used to trace the contribution of C3 plants (e.g. trees or shrubs) and C4 plants (e.g. savanna grasses) to greenhouse gases and aerosols if the process is well understood. This helps us to link individual vegetation types to emissions, identify biomass burning emissions in the atmosphere, and improve the reconstruction of historic fire regimes.
Sarah E. Chadburn, Eleanor J. Burke, Angela V. Gallego-Sala, Noah D. Smith, M. Syndonia Bret-Harte, Dan J. Charman, Julia Drewer, Colin W. Edgar, Eugenie S. Euskirchen, Krzysztof Fortuniak, Yao Gao, Mahdi Nakhavali, Włodzimierz Pawlak, Edward A. G. Schuur, and Sebastian Westermann
Geosci. Model Dev., 15, 1633–1657, https://doi.org/10.5194/gmd-15-1633-2022, https://doi.org/10.5194/gmd-15-1633-2022, 2022
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We present a new method to include peatlands in an Earth system model (ESM). Peatlands store huge amounts of carbon that accumulates very slowly but that can be rapidly destabilised, emitting greenhouse gases. Our model captures the dynamic nature of peat by simulating the change in surface height and physical properties of the soil as carbon is added or decomposed. Thus, we model, for the first time in an ESM, peat dynamics and its threshold behaviours that can lead to destabilisation.
Philippe Ciais, Ana Bastos, Frédéric Chevallier, Ronny Lauerwald, Ben Poulter, Josep G. Canadell, Gustaf Hugelius, Robert B. Jackson, Atul Jain, Matthew Jones, Masayuki Kondo, Ingrid T. Luijkx, Prabir K. Patra, Wouter Peters, Julia Pongratz, Ana Maria Roxana Petrescu, Shilong Piao, Chunjing Qiu, Celso Von Randow, Pierre Regnier, Marielle Saunois, Robert Scholes, Anatoly Shvidenko, Hanqin Tian, Hui Yang, Xuhui Wang, and Bo Zheng
Geosci. Model Dev., 15, 1289–1316, https://doi.org/10.5194/gmd-15-1289-2022, https://doi.org/10.5194/gmd-15-1289-2022, 2022
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The second phase of the Regional Carbon Cycle Assessment and Processes (RECCAP) will provide updated quantification and process understanding of CO2, CH4, and N2O emissions and sinks for ten regions of the globe. In this paper, we give definitions, review different methods, and make recommendations for estimating different components of the total land–atmosphere carbon exchange for each region in a consistent and complete approach.
Tomàs Artés, Marc Castellnou, Tracy Houston Durrant, and Jesús San-Miguel
Nat. Hazards Earth Syst. Sci., 22, 509–522, https://doi.org/10.5194/nhess-22-509-2022, https://doi.org/10.5194/nhess-22-509-2022, 2022
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During the last 20 years extreme wildfires have challenged firefighting capabilities. Several fire danger indices are routinely used by firefighting services but are not suited to forecast convective extreme wildfire behaviour at the global scale. This article proposes a new fire danger index for deep moist convection, the extreme-fire behaviour index (EFBI), based on the analysis of the vertical profiles of the atmosphere above wildfires to use along with traditional fire danger indices.
Margarita Choulga, Greet Janssens-Maenhout, Ingrid Super, Efisio Solazzo, Anna Agusti-Panareda, Gianpaolo Balsamo, Nicolas Bousserez, Monica Crippa, Hugo Denier van der Gon, Richard Engelen, Diego Guizzardi, Jeroen Kuenen, Joe McNorton, Gabriel Oreggioni, and Antoon Visschedijk
Earth Syst. Sci. Data, 13, 5311–5335, https://doi.org/10.5194/essd-13-5311-2021, https://doi.org/10.5194/essd-13-5311-2021, 2021
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People worry that growing man-made carbon dioxide (CO2) concentrations lead to climate change. Global models, use of observations, and datasets can help us better understand behaviour of CO2. Here a tool to compute uncertainty in man-made CO2 sources per country per year and month is presented. An example of all sources separated into seven groups (intensive and average energy, industry, humans, ground and air transport, others) is presented. Results will be used to predict CO2 concentrations.
Xinxin Ye, Pargoal Arab, Ravan Ahmadov, Eric James, Georg A. Grell, Bradley Pierce, Aditya Kumar, Paul Makar, Jack Chen, Didier Davignon, Greg R. Carmichael, Gonzalo Ferrada, Jeff McQueen, Jianping Huang, Rajesh Kumar, Louisa Emmons, Farren L. Herron-Thorpe, Mark Parrington, Richard Engelen, Vincent-Henri Peuch, Arlindo da Silva, Amber Soja, Emily Gargulinski, Elizabeth Wiggins, Johnathan W. Hair, Marta Fenn, Taylor Shingler, Shobha Kondragunta, Alexei Lyapustin, Yujie Wang, Brent Holben, David M. Giles, and Pablo E. Saide
Atmos. Chem. Phys., 21, 14427–14469, https://doi.org/10.5194/acp-21-14427-2021, https://doi.org/10.5194/acp-21-14427-2021, 2021
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Wildfire smoke has crucial impacts on air quality, while uncertainties in the numerical forecasts remain significant. We present an evaluation of 12 real-time forecasting systems. Comparison of predicted smoke emissions suggests a large spread in magnitudes, with temporal patterns deviating from satellite detections. The performance for AOD and surface PM2.5 and their discrepancies highlighted the role of accurately represented spatiotemporal emission profiles in improving smoke forecasts.
Jianning Ren, Jennifer C. Adam, Jeffrey A. Hicke, Erin J. Hanan, Christina L. Tague, Mingliang Liu, Crystal A. Kolden, and John T. Abatzoglou
Hydrol. Earth Syst. Sci., 25, 4681–4699, https://doi.org/10.5194/hess-25-4681-2021, https://doi.org/10.5194/hess-25-4681-2021, 2021
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Mountain pine beetle outbreaks have caused widespread tree mortality. While some research shows that water yield increases after trees are killed, many others document no change or a decrease. The climatic and environmental mechanisms driving hydrologic response to tree mortality are not well understood. We demonstrated that the direction of hydrologic response is a function of multiple factors, so previous studies do not necessarily conflict with each other; they represent different conditions.
Cited articles
Abatzoglou, J. T., Williams, A. P., and Barbero, R.: Global Emergence of Anthropogenic Climate Change in Fire Weather Indices, Geophys. Res. Lett., 46, 326–336, https://doi.org/10.1029/2018GL080959, 2019.
Abatzoglou, J. T., Smith, C. M., Swain, D. L., Ptak, T., and Kolden, C. A.: Population exposure to pre-emptive de-energization aimed at averting wildfires in Northern California, Environ. Res. Lett., 15, 094046, https://doi.org/10.1088/1748-9326/aba135, 2020.
Abatzoglou, J. T., Juang, C. S., Williams, A. P., Kolden, C. A., and Westerling, A. L.: Increasing Synchronous Fire Danger in Forests of the Western United States, Geophys. Res. Lett., 48, e2020GL091377, https://doi.org/10.1029/2020GL091377, 2021.
Abatzoglou, J. T., Kolden, C. A., Cullen, A. C., Sadegh, M., Williams, E. L., Turco, M., and Jones, M. W.: Climate change has increased the odds of extreme regional forest fire years globally, Nat. Commun., 16, 6390, https://doi.org/10.1038/s41467-025-61608-1, 2025.
Abram, N. J., Henley, B. J., Sen Gupta, A., Lippmann, T. J. R., Clarke, H., Dowdy, A. J., Sharples, J. J., Nolan, R. H., Zhang, T., Wooster, M. J., Wurtzel, J. B., Meissner, K. J., Pitman, A. J., Ukkola, A. M., Murphy, B. P., Tapper, N. J., and Boer, M. M.: Connections of climate change and variability to large and extreme forest fires in southeast Australia, Commun. Earth Environ., 2, 8, https://doi.org/10.1038/s43247-020-00065-8, 2021.
Agência para a Gestão Integrada de Fogos Rurais: Relatório de Atividades 2024 Relatório anual de atividades do Sistema de Gestão Integrada de Fogos Rurais (SGIFR), https://www.agif.pt/app/uploads/2025/06/RelatC3%B3rio-de-Atividades-2024_SGIFR_pg-34-corrigida.pdf (last access: 6 August 2025), 2025.
Aguilera, R., Corringham, T., Gershunov, A., and Benmarhnia, T.: Wildfire smoke impacts respiratory health more than fine particles from other sources: observational evidence from Southern California, Nat. Commun., 12, 1493, https://doi.org/10.1038/s41467-021-21708-0, 2021.
Alencar, A., Arruda, V., Martenexen, F., Rosa, E. R., Velez-Martin, E., Guedes Pinto, L. F., Duverger, S. G., Monteiro, N., and Silva, W.: Fogo no Brasil em 2024: o retrato fundiário da área queimada nos biomas, IPAM Amazônia, https://ipam.org.br/bibliotecas/fogo-no-brasil-em-2024-o-retrato-fundiario-da-area-queimada-nos-biomas/ (last access: 6 August 2025), 2024.
Alencar, A. A., Brando, P. M., Asner, G. P., and Putz, F. E.: Landscape fragmentation, severe drought, and the new Amazon forest fire regime, Ecol. Appl., 25, 1493–1505, https://doi.org/10.1890/14-1528.1, 2015.
Alencar, A. A. C., Arruda, V. L. S., Silva, W. V. D., Conciani, D. E., Costa, D. P., Crusco, N., Duverger, S. G., Ferreira, N. C., Franca-Rocha, W., Hasenack, H., Martenexen, L. F. M., Piontekowski, V. J., Ribeiro, N. V., Rosa, E. R., Rosa, M. R., Dos Santos, S. M. B., Shimbo, J. Z., and Vélez-Martin, E.: Long-Term Landsat-Based Monthly Burned Area Dataset for the Brazilian Biomes Using Deep Learning, Remote Sensing, 14, 2510, https://doi.org/10.3390/rs14112510, 2022.
Alho, C. J. R., Mamede, S. B., Benites, M., Andrade, B. S., and Sepúlveda, J. J. O.: Threats to the biodiversity of the Brazilian Pantanal due to land use and occupation, Ambiente Soc., 22, e01891, https://doi.org/10.1590/1809-4422asoc201701891vu2019l3ao, 2019.
Almeida, C. T., Oliveira-Júnior, J. F., Delgado, R. C., Cubo, P., and Ramos, M. C.: Spatiotemporal rainfall and temperature trends throughout the Brazilian Legal Amazon, 1973–2013, Int. J. Climatol., 37, 2013–2026, https://doi.org/10.1002/joc.4831, 2017.
Alvarado, S. T., Andela, N., Silva, T. S. F., and Archibald, S.: Thresholds of fire response to moisture and fuel load differ between tropical savannas and grasslands across continents, Global Ecol. Biogeogr., 29, 331–344, https://doi.org/10.1111/geb.13034, 2020.
Andela, N. and Jones, M. W.: Update of: The Global Fire Atlas of individual fire size, duration, speed and direction, Zenodo [data set], https://doi.org/10.5281/zenodo.11400061, 2025.
Andela, N. and van der Werf, G. R.: Recent trends in African fires driven by cropland expansion and El Niño to La Niña transition, Nat. Clim. Change, 4, 791–795, https://doi.org/10.1038/nclimate2313, 2014.
Andela, N., Morton, D. C., Giglio, L., Chen, Y., van der Werf, G. R., Kasibhatla, P. S., DeFries, R. S., Collatz, G. J., Hantson, S., Kloster, S., Bachelet, D., Forrest, M., Lasslop, G., Li, F., Mangeon, S., Melton, J. R., Yue, C., and Randerson, J. T.: A human-driven decline in global burned area, Science, 356, 1356–1362, https://doi.org/10.1126/science.aal4108, 2017.
Andela, N., Morton, D. C., Giglio, L., and Randerson, J. T.: Global Fire Atlas with Characteristics of Individual Fires, 2003–2016, ORNL DAAC, ORNL Distributed Active Archive Center [data set], https://doi.org/10.3334/ORNLDAAC/1642, 2019a.
Andela, N., Morton, D. C., Giglio, L., Paugam, R., Chen, Y., Hantson, S., van der Werf, G. R., and Randerson, J. T.: The Global Fire Atlas of individual fire size, duration, speed and direction, Earth Syst. Sci. Data, 11, 529–552, https://doi.org/10.5194/essd-11-529-2019, 2019b.
Anderegg, W. R. L., Trugman, A. T., Badgley, G., Anderson, C. M., Bartuska, A., Ciais, P., Cullenward, D., Field, C. B., Freeman, J., Goetz, S. J., Hicke, J. A., Huntzinger, D., Jackson, R. B., Nickerson, J., Pacala, S., and Randerson, J. T.: Climate-driven risks to the climate mitigation potential of forests, Science, 368, https://doi.org/10.1126/science.aaz7005, 2020.
Andreae, M. O.: Emission of trace gases and aerosols from biomass burning – an updated assessment, Atmos. Chem. Phys., 19, 8523–8546, https://doi.org/10.5194/acp-19-8523-2019, 2019.
Aragão, L. E. O. C., Anderson, L. O., Fonseca, M. G., Rosan, T. M., Vedovato, L. B., Wagner, F. H., Silva, C. V. J., Silva Junior, C. H. L., Arai, E., Aguiar, A. P., Barlow, J., Berenguer, E., Deeter, M. N., Domingues, L. G., Gatti, L., Gloor, M., Malhi, Y., Marengo, J. A., Miller, J. B., Phillips, O. L., and Saatchi, S.: 21st Century drought-related fires counteract the decline of Amazon deforestation carbon emissions, Nat. Commun., 9, 536, https://doi.org/10.1038/s41467-017-02771-y, 2018.
Archibald, S., Roy, D. P., van Wilgen, B. W., and Scholes, R. J.: What limits fire? An examination of drivers of burnt area in Southern Africa, Glob. Change Biol., 15, 613–630, https://doi.org/10.1111/j.1365-2486.2008.01754.x, 2009.
ArcGIS Hub: World Continents, ArcGIS Hub, [data set] https://hub.arcgis.com/maps/CESJ::world-continents (last access: 6 August 2025), 2024
Arctic Monitoring and Assessment Programme (AMAP): AMAP Arctic Climate Change Update 2024: Key Trends and Impacts, https://www.amap.no/documents/doc/amap-arctic-climate-change-update-2024-key-trends-and-impacts/3851 (last access: 6 August 2025), 2024.
Artés, T., Oom, D., de Rigo, D., Durrant, T. H., Maianti, P., Libertà, G., and San-Miguel-Ayanz, J.: A global wildfire dataset for the analysis of fire regimes and fire behaviour, Sci. Data, 6, 296, https://doi.org/10.1038/s41597-019-0312-2, 2019.
Atwood, E. C., Englhart, S., Lorenz, E., Halle, W., Wiedemann, W., and Siegert, F.: Detection and Characterization of Low Temperature Peat Fires during the 2015 Fire Catastrophe in Indonesia Using a New High-Sensitivity Fire Monitoring Satellite Sensor (FireBird), PLoS ONE, 11, e0159410, https://doi.org/10.1371/journal.pone.0159410, 2016.
Avialesookhrana (Aerial Forest Protection Service): Information on forest fire situation in the territory of the RF subjects as of 31.12.2024, https://aviales.ru/files/documents/2024/fds_svedenya/%D1%81%D0%B2%D0%B5%D0%B4%D0%B5%D0%BD%D0%B8%D1%8F%20%D0%BE%20%D0%BB%D0%B5%D1%81%D0%BE%D0%BF%D0%BE%D0%B6%D0%B0%D1%80%D0%BD%D0%BE%D0%B9%20%D0%BE%D0%B1%D1%81%D1%82%D0%B0%D0%BD%D0%BE%D0%B2%D0%BA%D0%B5%20%D0%BD%D0%B0%20%D1%82%D0%B5%D1%80%D1%80%D0%B8%D1%82%D0%BE%D1%80%D0%B8%D0%B8%20%D1%81%D1%83%D0%B1%D1%8A%D0%B5%D0%BA%D1%82%D0%BE%D0%B2%20%D1%80%D1%84%20%D0%BD%D0%B0%2031.12.2024.pdf (last access: 6 August 2025), 2024.
Aznar-Siguan, G. and Bresch, D. N.: CLIMADA v1: a global weather and climate risk assessment platform, Geosci. Model Dev., 12, 3085–3097, https://doi.org/10.5194/gmd-12-3085-2019, 2019.
Badgley, G., Chay, F., Chegwidden, O. S., Hamman, J. J., Freeman, J., and Cullenward, D.: California's forest carbon offsets buffer pool is severely undercapitalized, Front. For. Glob. Change, 5, https://doi.org/10.3389/ffgc.2022.930426, 2022a.
Badgley, G., Freeman, J., Hamman, J. J., Haya, B., Trugman, A. T., Anderegg, W. R. L., and Cullenward, D.: Systematic over-crediting in California's forest carbon offsets program, Glob. Change Biol., 28, 1433–1445, https://doi.org/10.1111/gcb.15943, 2022b.
Barbosa, M. L., Haddad, I., da Silva Nascimento, A. L., Máximo da Silva, G., Moura da Veiga, R., Hoffmann, T. B., Rosane de Souza, A., Dalagnol, R., Susin Streher, A., Souza Pereira, F. R., Oliveira e Cruz de Aragão, L. E., and Oighenstein Anderson, L.: Compound impact of land use and extreme climate on the 2020 fire record of the Brazilian Pantanal, Global Ecol. Biogeogr., 31, 1960–1975, https://doi.org/10.1111/geb.13563, 2022.
Barbosa, M. L. F.: Tracing the Ashes: Uncovering Burned Area Patterns and Drivers Over the Brazilian Biomes, PhD Thesis, Instituto Nacional de Pesquisas Espaciais, http://mtc-m21d.sid.inpe.br/col/sid.inpe.br/mtc-m21d/2024/04.04.17.26/doc/publicacao.pdf (last access: 6 August 2025), 2024.
Barbosa, M. L. F., Kelley, D., Moura da Veiga, R., Dong, N., and Burton, C.: State of Wildfires 2024–2025 ConFLAME: douglask3/Bayesian_fire_models Zenodo [code], https://doi.org/10.5281/ZENODO.16790787, 2025a.
Barbosa, M. L. F., Kelley, D. I., Burton, C. A., Ferreira, I. J. M., da Veiga, R. M., Bradley, A., Molin, P. G., and Anderson, L. O.: FLAME 1.0: a novel approach for modelling burned area in the Brazilian biomes using the maximum entropy concept, Geosci. Model Dev., 18, 3533–3557, https://doi.org/10.5194/gmd-18-3533-2025, 2025b.
Barbosa, M. L. F., Kelley, D., Hartley, A., Spuler, F., Wessel, J., Ciavarella, A., McNorton, J., Burton, C., Ferreira, I., and Fiedler, L.: State of Wildfires 2024/25 – ConFLAME Driver Assessment – Northeastern Amozonia/Pantanal-Chiquitano, Zenodo [data set], https://doi.org/10.5281/ZENODO.16786041, 2025c.
Barbosa, M. L. F., Kelley, D., Ciavarella, A., Hartley, A., McNorton, J., Di Giuseppe, F., Jones, M., Spuler, F., Wessel, J., and Burton, C.: State of Wildfires 2024–2025 ConFLAME driving data (v0.1.0), Zenodo [data set], https://doi.org/10.5281/ZENODO.15721434, 2025d.
Barichivich, J., Gloor, E., Peylin, P., Brienen, R. J. W., Schöngart, J., Espinoza, J. C., and Pattnayak, K. C.: Recent intensification of Amazon flooding extremes driven by strengthened Walker circulation, Sci. Adv., 4, https://doi.org/10.1126/sciadv.aat8785, 2018.
Barlow, J., Parry, L., Gardner, T. A., Ferreira, J., Aragão, L. E. O. C., Carmenta, R., Berenguer, E., Vieira, I. C. G., Souza, C., and Cochrane, M. A.: The critical importance of considering fire in REDD+ programs, Biol. Conserv., 154, 1–8, https://doi.org/10.1016/j.biocon.2012.03.034, 2012.
Barlow, J., França, F., Gardner, T. A., Hicks, C. C., Lennox, G. D., Berenguer, E., Castello, L., Economo, E. P., Ferreira, J., Guénard, B., Gontijo Leal, C., Isaac, V., Lees, A. C., Parr, C. L., Wilson, S. K., Young, P. J., and Graham, N. A. J.: The future of hyperdiverse tropical ecosystems, Nature, 559, 517–526, https://doi.org/10.1038/s41586-018-0301-1, 2018.
Barlow, J., Berenguer, E., Carmenta, R., and França, F.: Clarifying Amazonia's burning crisis, Glob. Change Biol., 26, 319–321, https://doi.org/10.1111/gcb.14872, 2020.
Barnes, C., Boulanger, Y., Keeping, T., Gachon, P., Gillett, N., Boucher, J., Roberge, F., Kew, S., Haas, O., Heinrich, D., Vahlberg, M., Singh, R., Elbe, M., Sivanu, S., Arrighi, J., van Aalst, M., Otto, F., Zachariah, M., Krikken, F., and Wang, X.: Climate change more than doubled the likelihood of extreme fire weather conditions in Eastern Canada, Centre for Environmental Policy, https://doi.org/10.25561/105981, 2023.
Barnes, C., Santos, F. L., Libonati, R., Keeping, T., Rodrigues, R., Alves, L. M., Sivanu, S., Vahlberg, M., Alcayna, T., Otto, F., Zachariah, M., Singh, R., Mugge, M., Biehl, J., Petryna, A., Dias, M., Reis, E., and Uzquiano, S.: Hot, dry and windy conditions that drove devastating Pantanal wildfires 40 % more intense due to climate change, Centre for Environmental Policy, https://doi.org/10.25561/113726, 2024.
Barnes, C., Keeping, T., Madakumbura, G., Abatzoglou, J., Williams, P., AghaKhouchak, A., Pinto, I., Thompson, V., Vautard, R., Lampe, S., Thiery, W., Pietroiusti, R., Otto, F., Vahlberg, M., Singh, R., Lambrou, N., Blakely, E., Zhu, Y., Li, J., Benmarhnia, T., Longcore, T., Marlier, M., Raju, E., Baumgart, N., and Arrighi, J.: Climate change increased the likelihood of wildfire disaster in highly exposed Los Angeles area, https://www.worldweatherattribution.org/wp-content/uploads/WWA-scientific-report-LA-wildfires-1.pdf (last access: 6 August 2025), 2025.
Bedia, J., Herrera, S., Gutiérrez, J. M., Benali, A., Brands, S., Mota, B., and Moreno, J. M.: Global patterns in the sensitivity of burned area to fire-weather: Implications for climate change, Agr. Forest Meteorol., 214–215, 369–379, https://doi.org/10.1016/j.agrformet.2015.09.002, 2015.
Bedia, J., Golding, N., Casanueva, A., Iturbide, M., Buontempo, C., and Gutiérrez, J. M.: Seasonal predictions of Fire Weather Index: Paving the way for their operational applicability in Mediterranean Europe, Climate Services, 9, 101–110, https://doi.org/10.1016/j.cliser.2017.04.001, 2018.
Béllo Carvalho, R., Oliveras Menor, I., Schmidt, I. B., Berlinck, C. N., Genes, L., and Dirzo, R.: Brazil on fire: Igniting awareness of the 2024 wildfire crisis, J. Environ. Manage., 389, 126190, https://doi.org/10.1016/j.jenvman.2025.126190, 2025.
Berenguer, E., Lennox, G. D., Ferreira, J., Malhi, Y., Aragão, L. E. O. C., Barreto, J. R., Del Bon Espírito-Santo, F., Figueiredo, A. E. S., França, F., Gardner, T. A., Joly, C. A., Palmeira, A. F., Quesada, C. A., Rossi, L. C., De Seixas, M. M. M., Smith, C. C., Withey, K., and Barlow, J.: Tracking the impacts of El Niño drought and fire in human-modified Amazonian forests, P. Natl. Acad. Sci. USA, 118, e2019377118, https://doi.org/10.1073/pnas.2019377118, 2021.
Betts, R. A., Belcher, S. E., Hermanson, L., Klein Tank, A., Lowe, J. A., Jones, C. D., Morice, C. P., Rayner, N. A., Scaife, A. A., and Stott, P. A.: Approaching 1.5 °C: how will we know we've reached this crucial warming mark?, Nature, 624, 33–35, https://doi.org/10.1038/d41586-023-03775-z, 2023.
Bilbao, B., Mistry, J., Millán, A., and Berardi, A.: Sharing Multiple Perspectives on Burning: Towards a Participatory and Intercultural Fire Management Policy in Venezuela, Brazil, and Guyana, Fire, 2, 39, https://doi.org/10.3390/fire2030039, 2019.
Bilbao, B., Steil, L., Urbieta, I. R., Anderson, L., Pinto, C., González, M. E., Millán, A., Falleiro, R. M., Morici, E., Ibarnegaray, V., Pérez-Salicrup, D. R., Pereira, J. M., and Moreno, J. M.: Wildfires. Adaptation to Climate Change Risks in Ibero-American Countries-RIOCCADAPT, ResearchGate, 435–496, ISBN 978-84-486-2166-7, 2020.
Bilbao, B. A., Millán, A., Luque, M. M., Mistry, J., Gómez-Martinez, R., Rivera-Lombardi, R., Méndez-Vallejo, C., León, E., Biskis, J., Gutiérrez, G., León, E., and Ancidey, B.: An intercultural vision for integrated fire management in Venezuela, Tropical Forest Issues, https://doi.org/10.55515/CNUU7417, 2022.
Billmire, M., French, N., Loboda, T., Owen, R., and Tyner, M.: Santa Ana winds and predictors of wildfire progression in Southern California, Int. J. Wildland Fire, 23, 1119–1129, https://doi.org/10.1071/WF13046, 2014.
Bolakhe, S.: Wildfires are raging in Nepal – climate change isn't the only culprit, Nature, https://doi.org/10.1038/d41586-024-01758-2, 2024.
Booth, R. C.: It's a make-or-break moment for housing in California, Vox, https://www.vox.com/housing/395049/california-lacounty-wildfires-altadena-pasadena-pacific-palisades-housing-homelessess-permitting-ceqa-coastal-rebuild (last access: 6 August 2025), 2025.
Borgschulte, M., Molitor, D., and Zou, E. Y.: Air Pollution and the Labor Market: Evidence from Wildfire Smoke, The Review of Economics and Statistics, 106, 1558–1575, https://doi.org/10.1162/rest_a_01243, 2024.
Boschetti, L. and Roy, D. P.: Defining a fire year for reporting and analysis of global interannual fire variability, J. Geophys. Res.-Biogeo., 113, G03020, https://doi.org/10.1029/2008JG000686, 2008.
Boucher, O., Servonnat, J., Albright, A. L., Aumont, O., Balkanski, Y., Bastrikov, V., Bekki, S., Bonnet, R., Bony, S., Bopp, L., Braconnot, P., Brockmann, P., Cadule, P., Caubel, A., Cheruy, F., Codron, F., Cozic, A., Cugnet, D., D'Andrea, F., Davini, P., de Lavergne, C., Denvil, S., Deshayes, J., Devilliers, M., Ducharne, A., Dufresne, J.-L., Dupont, E., Éthé, C., Fairhead, L., Falletti, L., Flavoni, S., Foujols, M.-A., Gardoll, S., Gastineau, G., Ghattas, J., Grandpeix, J.-Y., Guenet, B., Guez, E., Lionel, Guilyardi, E., Guimberteau, M., Hauglustaine, D., Hourdin, F., Idelkadi, A., Joussaume, S., Kageyama, M., Khodri, M., Krinner, G., Lebas, N., Levavasseur, G., Lévy, C., Li, L., Lott, F., Lurton, T., Luyssaert, S., Madec, G., Madeleine, J.-B., Maignan, F., Marchand, M., Marti, O., Mellul, L., Meurdesoif, Y., Mignot, J., Musat, I., Ottlé, C., Peylin, P., Planton, Y., Polcher, J., Rio, C., Rochetin, N., Rousset, C., Sepulchre, P., Sima, A., Swingedouw, D., Thiéblemont, R., Traore, A. K., Vancoppenolle, M., Vial, J., Vialard, J., Viovy, N., and Vuichard, N.: Presentation and Evaluation of the IPSL-CM6A-LR Climate Model, J. Adv. Model. Earth Sy., 12, e2019MS002010, https://doi.org/10.1029/2019MS002010, 2020.
Bowman, D., Williamson, G., Yebra, M., Lizundia-Loiola, J., Pettinari, M. L., Shah, S., Bradstock, R., and Chuvieco, E.: Wildfires: Australia needs national monitoring agency, Nature, 584, 188–191, https://doi.org/10.1038/d41586-020-02306-4, 2020.
Bowman, D. M. J. S., Moreira-Muñoz, A., Kolden, C. A., Chávez, R. O., Muñoz, A. A., Salinas, F., González-Reyes, Á., Rocco, R., de la Barrera, F., Williamson, G. J., Borchers, N., Cifuentes, L. A., Abatzoglou, J. T., and Johnston, F. H.: Human–environmental drivers and impacts of the globally extreme 2017 Chilean fires, Ambio, 48, 350–362, https://doi.org/10.1007/s13280-018-1084-1, 2019.
Bowman, D. M. J. S., Balch, J., Artaxo, P., Bond, W. J., Cochrane, M. A., D’Antonio, C. M., Defries, R., Johnston, F. H., Keeley, J. E., Krawchuk, M. A., Kull, C. A., Mack, M., Moritz, M. A., Pyne, S., Roos, C. I., Scott, A. C., Sodhi, N. S., Swetnam, T. W., and Whittaker, R.: The human dimension of fire regimes on Earth, J. Biogeogr., 38, 2223–2236, https://doi.org/10.1111/j.1365-2699.2011.02595.x, 2011.
Brando, P. M., Soares-Filho, B., Rodrigues, L., Assunção, A., Morton, D., Tuchschneider, D., Fernandes, E. C. M., Macedo, M. N., Oliveira, U., and Coe, M. T.: The gathering firestorm in southern Amazonia, Sci. Adv., 6, eaay1632, https://doi.org/10.1126/sciadv.aay1632, 2020.
Briscoe, T. and Rainey, J.: Hazardous wildfire smoke is making L.A. air hard to breathe, https://www.latimes.com/california/story/2025-01-08/wildfire-smoke-la-air-quality (last access: 6 August 2025), 2025.
Brunel, M., Rammig, A., Furquim, F., Overbeck, G., Barbosa, H. M. J., Thonicke, K., and Rolinski, S.: When do Farmers Burn Pasture in Brazil: A Model-Based Approach to Determine Burning Date, Rangeland Ecology & Management, 79, 110–125, https://doi.org/10.1016/j.rama.2021.08.003, 2021.
Bureau of Meteorology: Annual Australian Climate Statement 2023, Australian Government – Bureau of Meteorology, http://www.bom.gov.au/climate/current/annual/aus/2023/ (last access: 6 August 2025), 2024.
Bureau of Meteorology: Annual Australian Climate Statement 2024, Australian Government Bureau of Meteorology, http://www.bom.gov.au/climate/current/annual/aus/2024/ (last access: 6 August 2025), 2025.
Burrell, A. L., Sun, Q., Baxter, R., Kukavskaya, E. A., Zhila, S., Shestakova, T., Rogers, B. M., Kaduk, J., and Barrett, K.: Climate change, fire return intervals and the growing risk of permanent forest loss in boreal Eurasia, Sci. Total Environ., 831, 154885, https://doi.org/10.1016/j.scitotenv.2022.154885, 2022.
Burton, C., Kelley, D. I., Burke, E., Mathison, C., Jones, C. D., Betts, R. A., Robertson, E., Teixeira, J. C., Cardoso, M., and Anderson, L. O.: Fire weakens land carbon sinks before 1.5 °C, Nat. Geosci., 17, 1108–1114, https://doi.org/10.1038/s41561-024-01554-7, 2024a.
Burton, C., Lampe, S., Kelley, D. I., Thiery, W., Hantson, S., Christidis, N., Gudmundsson, L., Forrest, M., Burke, E., Chang, J., Huang, H., Ito, A., Kou-Giesbrecht, S., Lasslop, G., Li, W., Nieradzik, L., Li, F., Chen, Y., Randerson, J., Reyer, C. P. O., and Mengel, M.: Global burned area increasingly explained by climate change, Nat. Clim. Change, 14, 1186–1192, https://doi.org/10.1038/s41558-024-02140-w, 2024b.
Burton, C., Ciavarella, A., Kelley, D. I., Hartley, A., McCarthy, M., New, S., Betts, R. A., and Robertson, E.: Very high fire danger in UK in 2022 at least 6 times more likely due to human-caused climate change, Environ. Res. Lett., 20 044003, https://doi.org/10.1088/1748-9326/adb764, 2025.
Byrne, B., Liu, J., Bowman, K. W., Pascolini-Campbell, M., Chatterjee, A., Pandey, S., Miyazaki, K., van der Werf, G. R., Wunch, D., Wennberg, P. O., Roehl, C. M., and Sinha, S.: Carbon emissions from the 2023 Canadian wildfires, Nature, 633, 835–839, https://doi.org/10.1038/s41586-024-07878-z, 2024.
Cáceres, Z., Shimbo, J., Cáceres, S. R., da Silva, W. V., Arruda, V., and Alencar, A.: Nota técnica: Incendios forestales en el Perú 2002–2024, https://peru.mapbiomas.org/wp-content/uploads/sites/14/2024/11/Nota-tecnica_-Incendios-forestales-en-el-Peru-2002-2024-1.pdf (last access: 6 August 2025), 2024.
CALFIRE: California Department of Forestry and Fire Protection, https://www.fire.ca.gov/ (last access: 6 August 2025), 2025.
California Air Resources Board: 2025 Wildfire Air Monitoring, https://xappp.aqmd.gov/WildFireMonitoring (last access: 6 August 2025), 2025.
Calkin, D. E., Barrett, K., Cohen, J. D., Finney, M. A., Pyne, S. J., and Quarles, S. L.: Wildland-urban fire disasters aren't actually a wildfire problem, P. Natl. Acad. Sci. USA, 120, e2315797120, https://doi.org/10.1073/pnas.2315797120, 2023.
Câmara, J. and Moreira, R.: Pantanal em chamas: prejuízo causado pelo fogo no agronegócio de MS chega a R$ 1,2 bilhão, G1, https://g1.globo.com/ms/mato-grosso-do-sul/noticia/2024/09/18/pantanal-em-chamas-prejuizo-causado-pelo-fogo-no-agronegocio-de-ms-chega-a-r-12-bilhao-aponta-famasul.ghtml (last access: 6 August 2025), 2024.
Cammelli, F., Garrett, R. D., Barlow, J., and Parry, L.: Fire risk perpetuates poverty and fire use among Amazonian smallholders, Global Environmental Change, 63, 102096, https://doi.org/10.1016/j.gloenvcha.2020.102096, 2020.
Campanharo, W. A., Lopes, A. P., Anderson, L. O., Da Silva, T. F. M. R., and Aragão, L. E. O. C.: Translating Fire Impacts in Southwestern Amazonia into Economic Costs, Remote Sensing, 11, 764, https://doi.org/10.3390/rs11070764, 2019.
Campanharo, W. A., Morello, T., Christofoletti, M. A. M., and Anderson, L. O.: Hospitalization Due to Fire-Induced Pollution in the Brazilian Legal Amazon from 2005 to 2018, Remote Sensing, 14, 69, https://doi.org/10.3390/rs14010069, 2021.
Canadian Forest Service: Canadian Forest Service, Canadian Wildland Fire Information System (CWFIS), Natural Resources Canada, Canadian Forest Service, Northern Forestry Centre, Edmonton, Alberta, http://cwfis.cfs.nrcan.gc.ca (last access: 6 August 2025), 2025.
Canadell, J. G., Meyer, C. P., Cook, G. D., Dowdy, A., Briggs, P. R., Knauer, J., Pepler, A., and Haverd, V.: Multi-decadal increase of forest burned area in Australia is linked to climate change, Nat. Commun., 12, 6921, https://doi.org/10.1038/s41467-021-27225-4, 2021.
Cano-Crespo, A., Oliveira, P. J. C., Boit, A., Cardoso, M., and Thonicke, K.: Forest edge burning in the Brazilian Amazon promoted by escaping fires from managed pastures, J. Geophys. Res.-Biogeo., 120, 2095–2107, https://doi.org/10.1002/2015JG002914, 2015.
Carmenta, R., Cammelli, F., Dressler, W., Verbicaro, C., and Zaehringer, J. G.: Between a rock and a hard place: The burdens of uncontrolled fire for smallholders across the tropics, World Development, 145, 105521, https://doi.org/10.1016/j.worlddev.2021.105521, 2021.
Carmenta, R., Albuquerque, A., Anderson, L. A., Barlow, J., Caneiro, R., da Costa Dias, T., Ferreira, J., França, F., Nóbrega, J., Parry, L., Power, G., Steward, A. M., Taveres, P., and Estrada-Carmona, N.: Changes in forest food collection and hunter perceptions of Amazonian fire impacts, Ecology and Society, in press, 2025.
Carvalho, N. S., Anderson, L. O., Nunes, C. A., Pessôa, A. C. M., Silva Junior, C. H. L., Reis, J. B. C., Shimabukuro, Y. E., Berenguer, E., Barlow, J., and Aragão, L. E. O. C.: Spatio-temporal variation in dry season determines the Amazonian fire calendar, Environ. Res. Lett., 16, 125009, https://doi.org/10.1088/1748-9326/ac3aa3, 2021.
Castillo, G.: 2024: el año en que se incrementaron los incendios forestales en el Perú, RPP https://rpp.pe/peru/actualidad/2024-el-ano-en-que-se-incrementaron-los-incendios-forestales-en-el-peru-noticia-1606773 (last access: 6 August 2025), 2024.
CEMADEN: SEI/MCTI – 12227428 – Nota Técnica, https://www.gov.br/cemaden/pt-br/assuntos/monitoramento/monitoramento-de-seca-para-o-brasil/monitoramento-de-secas-e-impactos-no-brasil-agosto-2024/NOTATECNICAN529202SEICEMADENSECAS.pdf (last access: 6 August 2025), 2024.
Centro de Coordenação Regional Centro: Inventariação e valorização de danos e perdas decorrentes dos incêndios rurais em 2024, https://www.ccdrc.pt/pt/areas-de-atuacao/administracao-local/apoio-tecnico-e-financeiro/incendios-de-setembro-de-2024-na-regiao-centro/ (last access: 6 August 2025), 2024.
Centro Pinus: Impacto económico dos incêndios de 2024 na Fileira do Pinho, https://www.centropinus.org/files/upload/noticias/relatorio-centropinus-impacto-incendios-2024-fileira-pinho.pdf (last access: 6 August 2025), 2024.
Ceppi, P. and Nowack, P.: Observational evidence that cloud feedback amplifies global warming, P. Natl. Acad. Sci. USA, 118, e2026290118, https://doi.org/10.1073/pnas.2026290118, 2021.
Chakraborty, R. and Menghal, P. S.: Equatorial African Lightning: Past. Present and Future, arXiv [preprint], https://doi.org/10.48550/arXiv.2505.00392, 2025.
Chen, B., Wu, S., Jin, Y., Song, Y., Wu, C., Venevsky, S., Xu, B., Webster, C., and Gong, P.: Wildfire risk for global wildland–urban interface areas, Nat. Sustain., 7, 474–484, https://doi.org/10.1038/s41893-024-01291-0, 2024.
Chen, G., Guo, Y., Yue, X., Tong, S., Gasparrini, A., Bell, M. L., Armstrong, B., Schwartz, J., Jaakkola, J. J. K., Zanobetti, A., Lavigne, E., Saldiva, P. H. N., Kan, H., Royé, D., Milojevic, A., Overcenco, A., Urban, A., Schneider, A., Entezari, A., Vicedo-Cabrera, A. M., Zeka, A., Tobias, A., Nunes, B., Alahmad, B., Forsberg, B., Pan, S.-C., Íñiguez, C., Ameling, C., Valencia, C. D. la C., Åströ m, C., Houthuijs, D., Dung, D. V., Samoli, E., Mayvaneh, F., Sera, F., Carrasco-Escobar, G., Lei, Y., Orru, H., Kim, H., Holobaca, I.-H., Kyselý, J., Teixeira, J. P., Madureira, J., Katsouyanni, K., Hurtado-Díaz, M., Maasikmets, M., Ragettli, M. S., Hashizume, M., Stafoggia, M., Pascal, M., Scortichini, M., Coêlho, M. de S. Z. S., Ortega, N. V., Ryti, N. R. I., Scovronick, N., Matus, P., Goodman, P., Garland, R. M., Abrutzky, R., Garcia, S. O., Rao, S., Fratianni, S., Dang, T. N., Colistro, V., Huber, V., Lee, W., Seposo, X., Honda, Y., Guo, Y. L., Ye, T., Yu, W., Abramson, M. J., Samet, J. M., and Li, S.: Mortality risk attributable to wildfire-related PM2.5 pollution: a global time series study in 749 locations, The Lancet Planetary Health, 5, e579–e587, https://doi.org/10.1016/S2542-5196(21)00200-X, 2021.
Chen, Y., Morton, D. C., Andela, N., van der Werf, G. R., Giglio, L., and Randerson, J. T.: A pan-tropical cascade of fire driven by El Niño/Southern Oscillation, Nat. Clim. Change, 7, 906–911, https://doi.org/10.1038/s41558-017-0014-8, 2017.
Chen, Y., Hall, J., van Wees, D., Andela, N., Hantson, S., Giglio, L., van der Werf, G. R., Morton, D. C., and Randerson, J. T.: Multi-decadal trends and variability in burned area from the fifth version of the Global Fire Emissions Database (GFED5), Earth Syst. Sci. Data, 15, 5227–5259, https://doi.org/10.5194/essd-15-5227-2023, 2023.
Chuvieco, E., Roteta, E., Sali, M., Stroppiana, D., Boettcher, M., Kirches, G., Storm, T., Khairoun, A., Pettinari, M. L., Franquesa, M., and Albergel, C.: Building a small fire database for Sub-Saharan Africa from Sentinel-2 high-resolution images, Sci. Total Environ., 845, 157139, https://doi.org/10.1016/j.scitotenv.2022.157139, 2022.
Chuvieco, E., Yebra, M., Martino, S., Thonicke, K., Gómez-Giménez, M., San-Miguel, J., Oom, D., Velea, R., Mouillot, F., Molina, J. R., Miranda, A. I., Lopes, D., Salis, M., Bugaric, M., Sofiev, M., Kadantsev, E., Gitas, I. Z., Stavrakoudis, D., Eftychidis, G., Bar-Massada, A., Neidermeier, A., Pampanoni, V., Pettinari, M. L., Arrogante-Funes, F., Ochoa, C., Moreira, B., and Viegas, D.: Towards an Integrated Approach to Wildfire Risk Assessment: When, Where, What and How May the Landscapes Burn, Fire, 6, 215, https://doi.org/10.3390/fire6050215, 2023.
Ciais, P., Bastos, A., Chevallier, F., Lauerwald, R., Poulter, B., Canadell, J. G., Hugelius, G., Jackson, R. B., Jain, A., Jones, M., Kondo, M., Luijkx, I. T., Patra, P. K., Peters, W., Pongratz, J., Petrescu, A. M. R., Piao, S., Qiu, C., Von Randow, C., Regnier, P., Saunois, M., Scholes, R., Shvidenko, A., Tian, H., Yang, H., Wang, X., and Zheng, B.: Definitions and methods to estimate regional land carbon fluxes for the second phase of the REgional Carbon Cycle Assessment and Processes Project (RECCAP-2), Geosci. Model Dev., 15, 1289–1316, https://doi.org/10.5194/gmd-15-1289-2022, 2022.
Ciavarella, A., Christidis, N., Andrews, M., Groenendijk, M., Rostron, J., Elkington, M., Burke, C., Lott, F. C., and Stott, P. A.: Upgrade of the HadGEM3-A based attribution system to high resolution and a new validation framework for probabilistic event attribution, Weather and Climate Extremes, 20, 9–32, https://doi.org/10.1016/j.wace.2018.03.003, 2018.
Ciudad CCS: Venezuela combate incendios forestales sin precedentes, https://ciudadccs.info/publicacion/16957 (last access: 6 August 2025), 2024.
Clarke, B., Otto, F., Stuart-Smith, R., and Harrington, L.: Extreme weather impacts of climate change: an attribution perspective, Environ. Res. Clim., 1, 012001, https://doi.org/10.1088/2752-5295/ac6e7d, 2022.
CNM: Boletim de outubro 2024: Situação de emergência municipal por incêndios florestais Confederação Nacional de Municípios, https://cnm.org.br/storage/biblioteca/2024/Boletins/202410_BOL_DEF_outubro_2024.pdf (last access: 6 August 2025), 2024.
Comisión Nacional Forestal: Cierre Estadístico 2024: Coordinación General de Conservación y Restauración Gerencia de Manejo del Fuego 01 de enero al 31 de diciembre de 2024, https://www.gob.mx/conafor/documentos/reporte-semanal-de-incendios (last access: 6 August 2025), 2025.
Comité National de Défense de la Forêt et de lutte contre les feux de Brousse (CNDFB): Rapport 2024 et mi-2025, https://afriksoir.net/feux-de-brousse-en-cote-divoire-de-janvier-a-avril-2025-le-bilan-de-4-mois-est-sans-appel/#:~:text=Pour%20cette %20ann%C3%A9e%202025%20;%20au (last access: 6 August 2025), 2025.
Conte, M. N. and Kotchen, M. J.: EXPLAINING THE PRICE OF VOLUNTARY CARBON OFFSETS, Clim. Change Econ., 01, 93–111, https://doi.org/10.1142/s2010007810000091, 2010.
Copernicus Atmosphere Monitoring Services (CAMS): Canada wildfire season begins with major British Columbia blaze, https://atmosphere.copernicus.eu/canada-wildfire-season-begins-major-british-columbia-blaze, (last access: 6 August 2025), 2024a.
Copernicus Atmospheric Monitoring Services (CAMS): CAMS global system tracks exceptional air pollution episode in South Asia, https://atmosphere.copernicus.eu/cams-global-system-tracks-exceptional-air-pollution-episode-south-asia (last access: 6 August 2025), 2024b.
Copernicus Climate Change Service: ERA5-Land hourly data from 1950 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/CDS.E2161BAC, 2019.
Copernicus Climate Change Service (C3S): Surface air temperature for May 2025, https://climate.copernicus.eu/surface-air-temperature-may-2025 (last access: 6 August 2025), 2025.
County of Los Angeles Medical Examiner: WILDFIRES UPDATE | 30th Death Related to the January Wildfires Confirmed, https://me.lacounty.gov/2025/press-releases/wildfires-update-30th-death-related-to-the-january-wildfires-confirmed/ (last access: 6 August 2025), 2025.
Croker, A. R., Woods, J., and Kountouris, Y.: Community-Based Fire Management in East and Southern African Savanna-Protected Areas: A Review of the Published Evidence, Earth's Future, 11, e2023EF003552, https://doi.org/10.1029/2023EF003552, 2023.
Csiszar, I., Schroeder, W., Giglio, L., Ellicott, E., Vadrevu, K. P., Justice, C. O., and Wind, B.: Active fires from the Suomi NPP Visible Infrared Imaging Radiometer Suite: Product status and first evaluation results, J. Geophys. Res.-Atmos., 119, 803–816, https://doi.org/10.1002/2013JD020453, 2014.
Cunningham, C. X., Abatzoglou, J. T., Kolden, C. A., Williamson, G. J., Steuer, M., and Bowman, D. M. J. S.: Climate-linked escalation of societally disastrous wildfires, Science, 390, 53–58, https://doi.org/10.1126/science.adr5127, 2025.
Cunningham, C. X., Williamson, G. J., and Bowman, D. M. J. S.: Increasing frequency and intensity of the most extreme wildfires on Earth, Nat. Ecol. Evol., 1–6, https://doi.org/10.1038/s41559-024-02452-2, 2024b.
Dalton, R., Bury, L., Robertson, F., and Perkins, R.: LA wildfire insured loss estimates creep to $40bn+, https://www.insuranceinsider.com/article/2efppeiico48uc4c23xts/all-topics/catastrophe-losses/la-wildfire-insured-loss-estimates-creep-to-40bn?zephr_sso_ott=JQ2le5 (last access: 6 August 2025), 2025.
Damasceno-Junior, G. A., Pereira, A. de M. M., Oldeland, J., Parolin, P., and Pott, A.: Fire, Flood and Pantanal Vegetation, in: Flora and Vegetation of the Pantanal Wetland, edited by: Damasceno-Junior, G. A. and Pott, A., Springer International Publishing, Cham, 661–688, https://doi.org/10.1007/978-3-030-83375-6_18, 2021.
Davis, U. C.: Global Administative Areas Database [data set], https://gadm.org/download_world.html (last access: 6 August 2025), 2022.
Delforge, D., Wathelet, V., Below, R., Sofia, C. L., Tonnelier, M., van Loenhout, J. A. F., and Speybroeck, N.: EM-DAT: the Emergency Events Database, International Journal of Disaster Risk Reduction, 124, 105509, https://doi.org/10.1016/j.ijdrr.2025.105509, 2025.
Deutsche Welle: Germany: Hundreds evacuated due to Harz Mountains fire https://www.dw.com/en/germany-hundreds-evacuated-due-to-harz-mountains-fire/a-70159334 (last access: 6 August 2025), 2024.
Di Giuseppe, F.: Accounting for fuel in fire danger forecasts: the fire occurrence probability index (FOPI), Environ. Res. Lett., 18, 064029, https://doi.org/10.1088/1748-9326/acd2ee, 2023.
Di Giuseppe, F.: Global data-driven prediction of fire activity, Code Ocean [code and data set], https://doi.org/10.24433/CO.8570224.V1, 2025.
Di Giuseppe, F., Pappenberger, F., Wetterhall, F., Krzeminski, B., Camia, A., Libertá, G., and San Miguel, J.: The Potential Predictability of Fire Danger Provided by Numerical Weather Prediction, J. Appl. Meteorol. Clim., 55, 2469–2491, https://doi.org/10.1175/JAMC-D-15-0297.1, 2016.
Di Giuseppe, F., Vitolo, C., Barnard, C., Libertá, G., Maciel, P., San-Miguel-Ayanz, J., Villaume, S., and Wetterhall, F.: Global seasonal prediction of fire danger, Sci. Data, 11, 128, https://doi.org/10.1038/s41597-024-02948-3, 2024.
Di Giuseppe, F., McNorton, J., Lombardi, A., and Wetterhall, F.: Global data-driven prediction of fire activity, Nat. Commun., 16, 2918, https://doi.org/10.1038/s41467-025-58097-7, 2025.
Directorate-General for European Civil Protection and Humanitarian Aid Operations: European Civil Protection and Humanitarian Aid Operations https://civil-protection-humanitarian-aid.ec.europa.eu/index_en (last access: 6 August 2025), 2024.
Di Virgilio, G., Evans, J. P., Clarke, H., Sharples, J., Hirsch, A. L., and Hart, M. A.: Climate Change Significantly Alters Future Wildfire Mitigation Opportunities in Southeastern Australia, Geophys. Res. Lett., 47, e2020GL088893, https://doi.org/10.1029/2020GL088893, 2020.
Ding, R.: Let it burn: Why China is looking the other way on farm fires, Sixth Tone, https://www.sixthtone.com/news/1016586 (last access: 6 August 2025), 2025.
Doerr, S. H. and Santín, C.: Global trends in wildfire and its impacts: perceptions versus realities in a changing world, Phil. Trans. R. Soc. B, 371, 20150345, https://doi.org/10.1098/rstb.2015.0345, 2016.
Dou, C., Tang, Y., Jiang, N., Yan, L., and Ding, H.: Analysis of Sichuan wildfire based on the first synergetic observation from three payloads of SDGSAT-1, The Innovation, 5, 100707, https://doi.org/10.1016/j.xinn.2024.100707, 2024.
Douffı, K. G., Yao, A. C., Koffı, K. J., Traore, A. S., and Kone, M.: Afforestation in Response to Thermal Change in the Forest-Savannah Transition of the Lamto Scientific Reserve, Côte d'Ivoire, Eur. J. Forest Eng., 7, 45–56, https://doi.org/10.33904/ejfe.978520, 2021.
Dowdy, A. and Brown, A.: Broadscale thunderstorm environment dataset intended for climate analysis, Front. Clim., 7, https://doi.org/10.3389/fclim.2025.1539873, 2025.
Doxsey-Whitfield, E., MacManus, K., Adamo, S. B., Pistolesi, L., Squires, J., Borkovska, O., and Baptista, S. R.: Taking Advantage of the Improved Availability of Census Data: A First Look at the Gridded Population of the World, Version 4, Papers in Applied Geography, 1, 226–234, https://doi.org/10.1080/23754931.2015.1014272, 2015.
Dwomoh, F. K., Wimberly, M. C., Cochrane, M. A., and Numata, I.: Forest degradation promotes fire during drought in moist tropical forests of Ghana, Forest Ecol. Manage., 440, 158–168, https://doi.org/10.1016/j.foreco.2019.03.014, 2019.
Eberenz, S., Stocker, D., Röösli, T., and Bresch, D. N.: Asset exposure data for global physical risk assessment, Earth Syst. Sci. Data, 12, 817–833, https://doi.org/10.5194/essd-12-817-2020, 2020.
ECMWF: Observation and ERA5-Land derived 9 km global daily fire fuel characteristics since 2003, ECMWF [data set], https://doi.org/10.24381/378D1497, 2025.
El Deber: En 2024 se quemaron 14 millones de hectáreas en el país; más de la mitad en bosque https://eldeber.com.bo/pais/en-2024-se-quemaron-14-millones-de-ha-en-el-pais-mas-de-la-mitad-en-bosque_501689 (last access: 6 August 2025), 2025.
Eschenbacher, S.: Brazil's Amazon rainforest fires in August reach 14-year high, https://www.reuters.com/world/americas/brazils-amazon-rainforest-fires-august-reach-14-year-high-2024-09-01/ (last access: 6 August 2025), 2024.
EU Eurostat: Countries – GISCO – Eurostat, https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/countries (last access: 6 August 2025), 2020
Euronews: At least 20 wildfires burn across parts of North Macedonia's south, Euronews, https://www.euronews.com/my-europe/2024/07/20/battle-against-flames-ongoing-in-north-macedonia-with-international-support (last access: 6 August 2025), 2024.
European Centre for Medium-Range Weather Forecasts (ECMWF): Copernicus Atmospheric Monitoring Service (CAMS) global biomass burning emissions based on fire radiative power (GFAS): data documentation, https://confluence.ecmwf.int/display/CKB/CAMS+global+ biomass+burning+emissions+based+on+fire+radiative+power +%28GFAS%29%3A+data+documentation (last access: 6 August 2025), 2024.
European Commission Emergency Response Coordination Centre: Maps, https://erccportal.jrc.ec.europa.eu/ECHO-Products/Maps#/maps/latest (last access date: 6 August 2025), 2025.
European Commission Joint Research Centre: Forest fires in Europe, Middle East and North Africa 2022 [JRC135226], Publications Office of the European Union, Luxembourg, https://doi.org/10.2760/348120, 2023.
European Commission Joint Research Centre: Forest fires in Europe, Middle East and North Africa 2023 [JRC139704], Publications Office of the European Union, Luxembourg, https://doi.org/10.2760/8027062, 2024.
European Commission Joint Research Centre: Drought over large parts of Europe raises concern, https://joint-research-centre.ec.europa.eu/jrc-news-and-updates/drought-over-large-parts-europe-raises-concern-2025-05-05_en (last access: 6 August 2025), 2025.
European Forest Fire Information System: European Forest Fire Information System (EFFIS), https://forest-fire.emergency.copernicus.eu/ (last access: 6 August 2025), 2025.
Fang, T., Hwang, B. C. H., Kapur, S., Hopstock, K. S., Wei, J., Nguyen, V., Nizkorodov, S. A., and Shiraiwa, M.: Wildfire particulate matter as a source of environmentally persistent free radicals and reactive oxygen species, Environ. Sci. Atmos., 3, 581–594, https://doi.org/10.1039/D2EA00170E, 2023.
Faranda, D., Alvarez-Castro, M. C., Alberti, T., and Cazzaniga, G.: March 2025 Japan and South Korea wildfires have been fueled by meteorological conditions likely strengthened by human-driven climate change, ClimaMeter, Institut Pierre Simon Laplace, CNRS, Zenodo [report], https://doi.org/10.5281/zenodo.15083384, 2025.
Fernandes, P. M. and Botelho, H. S.: A review of prescribed burning effectiveness in fire hazard reduction, Int. J. Wildland Fire, 12, 117–128, https://doi.org/10.1071/wf02042, 2003.
Fernandes, P. M., Davies, G. M., Ascoli, D., Fernández, C., Moreira, F., Rigolot, E., Stoof, C. R., Vega, J. A., and Molina, D.: Prescribed burning in southern Europe: developing fire management in a dynamic landscape, Frontiers in Ecology and the Environment, 11, e4–e14, https://doi.org/10.1890/120298, 2013.
Feron, S., Cordero, R. R., Damiani, A., MacDonell, S., Pizarro, J., Goubanova, K., Valenzuela, R., Wang, C., Rester, L., and Beaulieu, A.: South America is becoming warmer, drier, and more flammable, Commun. Earth Environ., 5, 501, https://doi.org/10.1038/s43247-024-01654-7, 2024.
Ferreira, N.: Corremos o risco de estar a fazer desaparecer espécies ainda não descritas, PÚBLICO, https://www.publico.pt/2024/08/20/azul/noticia/laurissilva-madeira-corremos-risco-estar-desaparecer-especies-nao-descritas-2101375 (last access: 6 August 2025), 2024.
Finney, D. L., Doherty, R. M., Wild, O., Stevenson, D. S., MacKenzie, I. A., and Blyth, A. M.: A projected decrease in lightning under climate change, Nat. Clim. Change, 8, 210–213, https://doi.org/10.1038/s41558-018-0072-6, 2018.
Flemming, J., Huijnen, V., Arteta, J., Bechtold, P., Beljaars, A., Blechschmidt, A.-M., Diamantakis, M., Engelen, R. J., Gaudel, A., Inness, A., Jones, L., Josse, B., Katragkou, E., Marecal, V., Peuch, V.-H., Richter, A., Schultz, M. G., Stein, O., and Tsikerdekis, A.: Tropospheric chemistry in the Integrated Forecasting System of ECMWF, Geosci. Model Dev., 8, 975–1003, https://doi.org/10.5194/gmd-8-975-2015, 2015.
Foley, J. A., DeFries, R., Asner, G. P., Barford, C., Bonan, G., Carpenter, S. R., Chapin, F. S., Coe, M. T., Daily, G. C., Gibbs, H. K., Helkowski, J. H., Holloway, T., Howard, E. A., Kucharik, C. J., Monfreda, C., Patz, J. A., Prentice, I. C., Ramankutty, N., and Snyder, P. K.: Global Consequences of Land Use, Science, 309, 570–574, https://doi.org/10.1126/science.1111772, 2005.
Fonseca Morello, T., Marchetti Ramos, R., O. Anderson, L., Owen, N., Rosan, T. M., and Steil, L.: Predicting fires for policy making: Improving accuracy of fire brigade allocation in the Brazilian Amazon, Ecological Economics, 169, 106501, https://doi.org/10.1016/j.ecolecon.2019.106501, 2020.
Food and Agriculture Organization of the United Nations: Global Fire Management Hub, https://www.fao.org/partnerships/fire-hub/en (last access: 6 August 2025), 2024.
Forster, P. M., Smith, C., Walsh, T., Lamb, W. F., Lamboll, R., Cassou, C., Hauser, M., Hausfather, Z., Lee, J.-Y., Palmer, M. D., von Schuckmann, K., Slangen, A. B. A., Szopa, S., Trewin, B., Yun, J., Gillett, N. P., Jenkins, S., Matthews, H. D., Raghavan, K., Ribes, A., Rogelj, J., Rosen, D., Zhang, X., Allen, M., Aleluia Reis, L., Andrew, R. M., Betts, R. A., Borger, A., Broersma, J. A., Burgess, S. N., Cheng, L., Friedlingstein, P., Domingues, C. M., Gambarini, M., Gasser, T., Gütschow, J., Ishii, M., Kadow, C., Kennedy, J., Killick, R. E., Krummel, P. B., Liné, A., Monselesan, D. P., Morice, C., Mühle, J., Naik, V., Peters, G. P., Pirani, A., Pongratz, J., Minx, J. C., Rigby, M., Rohde, R., Savita, A., Seneviratne, S. I., Thorne, P., Wells, C., Western, L. M., van der Werf, G. R., Wijffels, S. E., Masson-Delmotte, V., and Zhai, P.: Indicators of Global Climate Change 2024: annual update of key indicators of the state of the climate system and human influence, Earth Syst. Sci. Data, 17, 2641–2680, https://doi.org/10.5194/essd-17-2641-2025, 2025.
Freeborn, P. H., Wooster, M. J., Roy, D. P., and Cochrane, M. A.: Quantification of MODIS fire radiative power (FRP) measurement uncertainty for use in satellite-based active fire characterization and biomass burning estimation, Geophys. Res. Lett., 41, 1988–1994, https://doi.org/10.1002/2013GL059086, 2014.
Frieler, K., Volkholz, J., Lange, S., Schewe, J., Mengel, M., del Rocío Rivas López, M., Otto, C., Reyer, C. P. O., Karger, D. N., Malle, J. T., Treu, S., Menz, C., Blanchard, J. L., Harrison, C. S., Petrik, C. M., Eddy, T. D., Ortega-Cisneros, K., Novaglio, C., Rousseau, Y., Watson, R. A., Stock, C., Liu, X., Heneghan, R., Tittensor, D., Maury, O., Büchner, M., Vogt, T., Wang, T., Sun, F., Sauer, I. J., Koch, J., Vanderkelen, I., Jägermeyr, J., Müller, C., Rabin, S., Klar, J., Vega del Valle, I. D., Lasslop, G., Chadburn, S., Burke, E., Gallego-Sala, A., Smith, N., Chang, J., Hantson, S., Burton, C., Gädeke, A., Li, F., Gosling, S. N., Müller Schmied, H., Hattermann, F., Wang, J., Yao, F., Hickler, T., Marcé, R., Pierson, D., Thiery, W., Mercado-Bettín, D., Ladwig, R., Ayala-Zamora, A. I., Forrest, M., and Bechtold, M.: Scenario setup and forcing data for impact model evaluation and impact attribution within the third round of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3a), Geosci. Model Dev., 17, 1–51, https://doi.org/10.5194/gmd-17-1-2024, 2024.
Frieler, K., Lange, S., Schewe, J., Mengel, M., Treu, S., Otto, C., Volkholz, J., Reyer, C. P. O., Heinicke, S., Jones, C., Blanchard, J. L., Harrison, C. S., Petrik, C. M., Eddy, T. D., Ortega-Cisneros, K., Novaglio, C., Heneghan, R., Tittensor, D. P., Maury, O., Büchner, M., Vogt, T., Quesada Chacón, D., Emanuel, K., Lee, C.-Y., Camargo, S. J., Jägermeyr, J., Rabin, S., Klar, J., Vega del Valle, I. D., Novak, L., Sauer, I. J., Lasslop, G., Chadburn, S., Burke, E., Gallego-Sala, A., Smith, N., Chang, J., Hantson, S., Burton, C., Gädeke, A., Li, F., Gosling, S. N., Müller Schmied, H., Hattermann, F., Hickler, T., Marcé, R., Pierson, D., Thiery, W., Mercado-Bettín, D., Ladwig, R., Ayala-Zamora, A. I., Forrest, M., Bechtold, M., Reinecke, R., de Graaf, I., Kaplan, J. O., Koch, A., and Lengaigne, M.: Scenario set-up and the new CMIP6-based climate-related forcings provided within the third round of the Inter-Sectoral Model Intercomparison Project (ISIMIP3b, group I and II), EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-2103, 2025.
Frölicher, T. L. and Laufkötter, C.: Emerging risks from marine heat waves, Nat. Commun., 9, 650, https://doi.org/10.1038/s41467-018-03163-6, 2018.
Fundación Tierra: Reporte de incendios 2024, https://www.ftierra.org/index.php/publicacion/documentos-de-trabajo/attachment/254/52 (last access: 6 August 2025), 2024.
Fundación Tierra: Incendios forestales 2024, Tras las huellas del fuego, TIERRA, https://ftierra.org/index.php/publicacion/libro/258-incendios-forestales-2024-tras-las-huellas-del-fuego (last access: 6 August 2025), 2025.
Gabriel, H.: Algeria extinguishes 26 fires in past 24 hours, Anadolu Ajansi, https://www.aa.com.tr/en/africa/algeria-extinguishes-26-fires-in-past-24-hours/3282209 (last access: 6 August 2025), 2024.
Garcin, Y., Schefuß, E., Dargie, G. C., Hawthorne, D., Lawson, I. T., Sebag, D., Biddulph, G. E., Crezee, B., Bocko, Y. E., Ifo, S. A., Mampouya Wenina, Y. E., Mbemba, M., Ewango, C. E. N., Emba, O., Bola, P., Kanyama Tabu, J., Tyrrell, G., Young, D. M., Gassier, G., Girkin, N. T., Vane, C. H., Adatte, T., Baird, A. J., Boom, A., Gulliver, P., Morris, P. J., Page, S. E., Sjögersten, S., and Lewis, S. L.: Hydroclimatic vulnerability of peat carbon in the central Congo Basin, Nature, 612, 277–282, https://doi.org/10.1038/s41586-022-05389-3, 2022.
Garnett, S. T., Burgess, N. D., Fa, J. E., Fernández-Llamazares, Á., Molnár, Z., Robinson, C. J., Watson, J. E. M., Zander, K. K., Austin, B., Brondizio, E. S., Collier, N. F., Duncan, T., Ellis, E., Geyle, H., Jackson, M. V., Jonas, H., Malmer, P., McGowan, B., Sivongxay, A., and Leiper, I.: A spatial overview of the global importance of Indigenous lands for conservation, Nat. Sustain., 1, 369–374, https://doi.org/10.1038/s41893-018-0100-6, 2018.
Garreaud, R. D., Alvarez-Garreton, C., Barichivich, J., Boisier, J. P., Christie, D., Galleguillos, M., LeQuesne, C., McPhee, J., and Zambrano-Bigiarini, M.: The 2010–2015 megadrought in central Chile: impacts on regional hydroclimate and vegetation, Hydrol. Earth Syst. Sci., 21, 6307–6327, https://doi.org/10.5194/hess-21-6307-2017, 2017.
Garrett, M. G.: Wildfires are breaking out in Southern California as the “most destructive windstorm” in over a decade hits, https://www.cnn.com/2025/01/07/weather/california-windstorm-fire-los-angeles-climate, CNN (last access: 6 August 2025), 2025.
Garrido, B.: Mais de 80 % dos focos de calor em SP foram em áreas produtivas, IPAM Amazônia, https://ipam.org.br/focos-de-calor-sp/ (last access: 6 August 2025), 2024.
Gatti, L. V., Basso, L. S., Miller, J. B., Gloor, M., Gatti Domingues, L., Cassol, H. L. G., Tejada, G., Aragão, L. E. O. C., Nobre, C., Peters, W., Marani, L., Arai, E., Sanches, A. H., Corrêa, S. M., Anderson, L., Von Randow, C., Correia, C. S. C., Crispim, S. P., and Neves, R. A. L.: Amazonia as a carbon source linked to deforestation and climate change, Nature, 595, 388–393, https://doi.org/10.1038/s41586-021-03629-6, 2021.
Gayle, D.: Forest fires push up greenhouse gas emissions from war in Ukraine, The Guardian, https://www.theguardian.com/world/2025/feb/24/forest-fires-push-up-greenhouse-gas-emissions-from-war-in-ukraine (last access: 6 August 2025), 2025.
Giannaros, T., Papavasileiou, G., Lagouvardos, K., Georgiadis, N., Athanassakis, G., and Tziritis, E.: 2024 Fire Season Report – Greece, https://wwfeu.awsassets.panda.org/downloads/202412_fire_season_annual_report_noa_wwf.pdf (last access: 6 August 2025), 2025.
Giglio, L.: VIIRS/NPP Burned Area Monthly L4 Global 500 m SIN Grid V002, NASA EOSDIS Land Processes Distributed Active Archive Center [data set], https://doi.org/10.5067/VIIRS/VNP64A1.002, 2024.
Giglio, L., van der Werf, G. R., Randerson, J. T., Collatz, G. J., and Kasibhatla, P.: Global estimation of burned area using MODIS active fire observations, Atmos. Chem. Phys., 6, 957–974, https://doi.org/10.5194/acp-6-957-2006, 2006.
Giglio, L., Randerson, J. T., and van der Werf, G. R.: Analysis of daily, monthly, and annual burned area using the fourth-generation global fire emissions database (GFED4), J. Geophys. Res.-Biogeo., 118, 317–328, https://doi.org/10.1002/jgrg.20042, 2013.
Giglio, L., Schroeder, W., and Justice, C. O.: The collection 6 MODIS active fire detection algorithm and fire products, Remote Sens. Environ., 178, 31–41, https://doi.org/10.1016/j.rse.2016.02.054, 2016.
Giglio, L., Boschetti, L., Roy, D. P., Humber, M. L., and Justice, C. O.: The Collection 6 MODIS burned area mapping algorithm and product, Remote Sens. Environ., 217, 72–85, https://doi.org/10.1016/j.rse.2018.08.005, 2018.
Giglio, L., Justice, C., Boschetti, L., and Roy, D.: MODIS/Terra+Aqua Burned Area Monthly L3 Global 500 m SIN Grid V061, NASA EOSDIS Land Processes Distributed Active Archive Center [data set], https://doi.org/10.5067/MODIS/MCD64A1.061, 2021.
Gill, B. and Britz-McKibbin, P.: Biomonitoring of smoke exposure in firefighters: A review, Current Opinion in Environmental Science and Health, 15, 57–65, https://doi.org/10.1016/j.coesh.2020.04.002, 2020.
Global Fire Emissions Database (GFED): Global Fire Emissions Database: Data Pages, https://www.globalfiredata.org/index.html (last access: 6 August 2025), 2024.
Global Fire Monitoring Center: Iran News: Wildfires ravage Iran's forests amidst drought and systemic negligence, https://gfmc.online/2024/06-2024/iran-news-wildfires-ravage-irans-forests-amidst-drought-and-systemic-negligence.html (last access: 6 August 2025), 2024.
Global Times: China initiates Level-IV emergency response to wildfire in SW China's Sichuan, https://www.globaltimes.cn/page/202403/1308958.shtml (last access: 6 August 2025), 2024.
Global Wildfire Information System: Global Wildfire Information System, https://gwis.jrc.ec.europa.eu/ (last access: 6 August 2025), 2025.
Gonçalves, J. and Marcos, B.: Análise da área ardida em Portugal continental no ano de 2024, https://severuspt.github.io/AnaliseAreaArdida2024/ (last access: 6 August 2025), 2024.
González, M. E., Gómez-González, S., Lara, A., Garreaud, R., and Díaz-Hormazábal, I.: The 2010–2015 Megadrought and its influence on the fire regime in central and south-central Chile, Ecosphere, 9, e02300, https://doi.org/10.1002/ecs2.2300, 2018.
González, M. E., Syphard, A. D., Fischer, A. P., Muñoz, A. A., and Miranda, A.: Chile's Valparaíso hills on fire, Science, 383, 1424–1424, https://doi.org/10.1126/science.ado5411, 2024.
Goss, M., Swain, D. L., Abatzoglou, J. T., Sarhadi, A., Kolden, C. A., Williams, A. P., and Diffenbaugh, N. S.: Climate change is increasing the likelihood of extreme autumn wildfire conditions across California, Environ. Res. Lett., 15, 094016, https://doi.org/10.1088/1748-9326/ab83a7, 2020.
Gould, C. F., Heft-Neal, S., Johnson, M., Aguilera, J., Burke, M., and Nadeau, K.: Health Effects of Wildfire Smoke Exposure, Annual Review of Medicine, 75, 277–292, https://doi.org/10.1146/annurev-med-052422-020909, 2024.
Grau-Andrés, R., Moreira, B., and Pausas, J. G.: Global plant responses to intensified fire regimes, Global Ecol. Biogeogr., 33, e13858, https://doi.org/10.1111/geb.13858, 2024.
Greenpeace: La Patagonia argentina sufre los peores incendios forestales de las últimas tres décadas, Fundación Greenpeace Argentina, https://www.greenpeace.org/argentina/story/problemas/bosques/la-patagonia-argentina-sufre-los-peores-incendios-forestales-de-las-ultimas-tres-decadas/ (last access: 6 August 2025), 2025.
Green Policy Platform: Congo Basin Sustainable Landscapes Programme, https://www.greenpolicyplatform.org/initiatives/GefCongoBasin/about (last access: 6 August 2025), 2025.
Hamilton, D. S., Perron, M. M. G., Bond, T. C., Bowie, A. R., Buchholz, R. R., Guieu, C., Ito, A., Maenhaut, W., Myriokefalitakis, S., Olgun, N., Rathod, S. D., Schepanski, K., Tagliabue, A., Wagner, R., and Mahowald, N. M.: Earth, Wind, Fire, and Pollution: Aerosol Nutrient Sources and Impacts on Ocean Biogeochemistry, Annu. Rev. Mar. Sci., 14, 303–330, https://doi.org/10.1146/annurev-marine-031921-013612, 2022.
Harris, S. and Lucas, C.: Understanding the variability of Australian fire weather between 1973 and 2017, PLOS ONE, 14, e0222328, https://doi.org/10.1371/journal.pone.0222328, 2019.
Harrison, S. P., Bartlein, P. J., Brovkin, V., Houweling, S., Kloster, S., and Prentice, I. C.: The biomass burning contribution to climate–carbon-cycle feedback, Earth Syst. Dynam., 9, 663–677, https://doi.org/10.5194/esd-9-663-2018, 2018.
He, Y., Czaplicki Cabezas, S., Maillard, O., Müller, R., Romero-Muñoz, A., Romero Pimentel, L. F., Vadillo, A., and Vos, V. A.: Enact reforms to protect Bolivia's forests from fire, Science, 387, 255–255, https://doi.org/10.1126/science.adt8304, 2025.
Hegerl, G. C., Hoegh-Guldberg, O., Casassa, G., Hoerling, M., Kovats, S., Parmesan, C., Pierce, D., and Stott, P.: IPCC WGI Expert Meeting on Detection and Attribution Related to Anthropogenic Climate Change: Good Practice Guidance Paper on Detection and Attribution Related to Anthropogenic Climate Change, edited by: Stocker, T., Field, C., Dahe, Q., Barros, V., Plattner, G.-K., Tignor, M., Midgley, P., and Ebi, K., Intergovernmental Panel on Climate Change, Geneva, https://archive.ipcc.ch/pdf/supporting-material/ipcc_good_practice_guidance_paper_anthropogenic.pdf (last access: 6 August 2025), 2009.
Held, I. M., Guo, H., Adcroft, A., Dunne, J. P., Horowitz, L. W., Krasting, J., Shevliakova, E., Winton, M., Zhao, M., Bushuk, M., Wittenberg, A. T., Wyman, B., Xiang, B., Zhang, R., Anderson, W., Balaji, V., Donner, L., Dunne, K., Durachta, J., Gauthier, P. P. G., Ginoux, P., Golaz, J.-C., Griffies, S. M., Hallberg, R., Harris, L., Harrison, M., Hurlin, W., John, J., Lin, P., Lin, S.-J., Malyshev, S., Menzel, R., Milly, P. C. D., Ming, Y., Naik, V., Paynter, D., Paulot, F., Ramaswamy, V., Reichl, B., Robinson, T., Rosati, A., Seman, C., Silvers, L. G., Underwood, S., and Zadeh, N.: Structure and Performance of GFDL's CM4.0 Climate Model, J. Adv. Model. Earth Sy., 11, 3691–3727, https://doi.org/10.1029/2019MS001829, 2019.
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Sheppers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 hourly data on single levels from 1940 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/CDS.ADBB2D47, 2023.
Hiers, J. K., O'Brien, J. J., Varner, J. M., Butler, B. W., Dickinson, M., Furman, J., Gallagher, M., Godwin, D., Goodrick, S. L., Hood, S. M., Hudak, A., Kobziar, L. N., Linn, R., Loudermilk, E. L., McCaffrey, S., Robertson, K., Rowell, E. M., Skowronski, N., Watts, A. C., and Yedinak, K. M.: Prescribed fire science: the case for a refined research agenda, Fire Ecol., 16, 11, s42408-020-0070–8, https://doi.org/10.1186/s42408-020-0070-8, 2020.
Higuera, P. E. and Abatzoglou, J. T.: Record-setting climate enabled the extraordinary 2020 fire season in the western United States, Glob. Change Biol., 27, 1–2, https://doi.org/10.1111/gcb.15388, 2020.
Ho, A. T. Y., Huynh, K. P., Jacho-Chávez, D. T., and Vallée, G.: We didn't start the fire: Effects of a natural disaster on consumers' financial distress, Journal of Environmental Economics and Management, 119, 102790, https://doi.org/10.1016/j.jeem.2023.102790, 2023.
Holbrook, N. J., Scannell, H. A., Sen Gupta, A., Benthuysen, J. A., Feng, M., Oliver, E. C. J., Alexander, L. V., Burrows, M. T., Donat, M. G., Hobday, A. J., Moore, P. J., Perkins-Kirkpatrick, S. E., Smale, D. A., Straub, S. C., and Wernberg, T.: A global assessment of marine heatwaves and their drivers, Nat. Commun., 10, 2624, https://doi.org/10.1038/s41467-019-10206-z, 2019.
Holl, K. D. and Brancalion, P. H. S.: Tree planting is not a simple solution, Science, 368, 580–581, https://doi.org/10.1126/science.aba8232, 2020.
Horton, H.: Drought fears in Europe amid reports May was world's second hottest ever, https://www.theguardian.com/environment/2025/jun/11/drought-fears-in-europe-amid-reports-may-was-worlds-second-hottest-ever (last access: 6 August 2025), 2025.
Hsu, A., Jones, M. W., Thurgood, J. R., Smith, A. J. P., Carmenta, R., Abatzoglou, J. T., Anderson, L. O., Clarke, H., Doerr, S. H., Fernandes, P. M., Kolden, C. A., Santín, C., Strydom, T., Le Quéré, C., Ascoli, D., Castellnou, M., Goldammer, J. G., Guiomar, N. R. G. N., Kukavskaya, E. A., Rigolot, E., Tanpipat, V., Varner, M., Yamashita, Y., Baard, J., Barreto, R., Becerra, J., Brunn, E., Bergius, N., Carlsson, J., Cheney, C., Druce, D., Elliot, A., Evans, J., De Moraes Falleiro, R., Prat-Guitart, N., Hiers, J. K., Kaiser, J. W., Macher, L., Morris, D., Park, J., Robles, C., Román-Cuesta, R. M., Rücker, G., Senra, F., Steil, L., Valverde, J. A. L., and Zerr, E.: A global assemblage of regional prescribed burn records – GlobalRx, Sci. Data, 12, 1083, https://doi.org/10.1038/s41597-025-04941-w, 2025.
Huang, L., Zhu, Y., Wang, Q., Zhu, A., Liu, Z., Wang, Y., Allen, D. T., and Li, L.: Assessment of the effects of straw burning bans in China: Emissions, air quality, and health impacts, Sci. Total Environ., 789, 147935, https://doi.org/10.1016/j.scitotenv.2021.147935, 2021.
Huang, X., Xue, L., Wang, Z., Liu, Y., Ding, K., and Ding, A.: Escalating Wildfires in Siberia Driven by Climate Feedbacks Under a Warming Arctic in the 21st Century, AGU Advances, 5, e2023AV001151, https://doi.org/10.1029/2023AV001151, 2024.
Huang, Z. and Skidmore, M.: The Impact of Wildfires and Wildfire-Induced Air Pollution on House Prices in the United States, Land Economics, 100, 22–50, https://doi.org/10.3368/le.100.1.102322-0093R, 2024.
Huijnen, V., Flemming, J., Chabrillat, S., Errera, Q., Christophe, Y., Blechschmidt, A.-M., Richter, A., and Eskes, H.: C-IFS-CB05-BASCOE: stratospheric chemistry in the Integrated Forecasting System of ECMWF, Geosci. Model Dev., 9, 3071–3091, https://doi.org/10.5194/gmd-9-3071-2016, 2016.
Humphreys, A., Walker, E. G., Bratman, G. N., and Errett, N. A.: What can we do when the smoke rolls in? An exploratory qualitative analysis of the impacts of rural wildfire smoke on mental health and wellbeing, and opportunities for adaptation, BMC Public Health, 22, https://doi.org/10.1186/s12889-021-12411-2, 2022.
Huntingford, C., Kelley, D. I., and Barbosa, M. L. F.: A call to refine fire attribution: expanding the FAR statistic to capture the complexity of Los Angeles extreme fires, Environ. Res. Lett., 20, 091003, https://doi.org/10.1088/1748-9326/adf12b, 2025.
INPE: Banco de Dados de queimadas, https://terrabrasilis.dpi.inpe.br/queimadas/situacao-atual/estatisticas/estatisticas_paises/ (last access: 6 August 2025), 2025.
Instituto Brasileiro de Geografia e Estatística (IBGE): Coordenação de Recursos Naturais e Estudos Ambientais, Bacias e divisões hidrográficas do Brasil – Rio de Janeiro, Biblioteca IBGE, ISBN 9786587201801, https://biblioteca.ibge.gov.br/visualizacao/livros/liv101854.pdf (last access: 14 October 2025), 2021.
Instituto da Conservação da Natureza e das Florestas: 8° relatório provisório de incêndios frurais – 2024 – 1 de janeiro a 15 de outubro, https://www.icnf.pt/florestas/gfr/gfrgestaoinformacao/grfrelatorios/ areasardidaseocorrencias (last access: 6 August 2025), 2024.
Instituto Português do Mar e Atmosfera: Instituto Português do Mar e Atmosfera: Relatório incêndios rurais – análise meteorológica e índices de perigo, https://www.ipma.pt/resources.www/docs/im.publicacoes/ edicoes.online/20241129/IPVgKYBfuawamtSMzMgL/ met_20240901_20240930_fog_mm_co_pt.pdf (last access: 6 August 2025), 2024.
Insurance Bureau of Canada: Insurance Bureau of Canada provides Jasper wildfire recovery update, https://www.ibc.ca/news-insights/news/insurance-bureau-of-canada-provides-jasper-wildfire-recovery-update (last access: 6 August 2025), 2025.
Intergovernmental Panel on Climate Change (IPCC) (Ed.): Changing State of the Climate System, in: Climate Change 2021 – The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, 287–422, https://doi.org/10.1017/9781009157896.004, 2023a.
Intergovernmental Panel on Climate Change (IPCC) (Ed.): Key Risks across Sectors and Regions, in: Climate Change 2022 – Impacts, Adaptation and Vulnerability: Working Group II Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, 2411–2538, https://doi.org/10.1017/9781009325844.025, 2023b.
Intergovernmental Panel on Climate Change (IPCC) (Ed.): Point of Departure and Key Concepts, in: Climate Change 2022 – Impacts, Adaptation and Vulnerability: Working Group II Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, 121–196, https://doi.org/10.1017/9781009325844.003, 2023c.
Internal Displacement Monitoring Centre (IDMC): 2025 Global Report on Internal Displacement (GRID), https://doi.org/10.55363/IDMC.XTGW2833, 2025.
IQAir: 2024 World Air Quality Report, https://www.iqair.com/newsroom/waqr-2024-pr (last access: 6 August 2025), 2025.
Iran International: Fires in Iran's protected wildlife area expose governance failures, https://www.iranintl.com/en/202407110417 (last access: 6 August 2025), 2024.
ISDM (Informational System of Forest Fire Remote Monitoring): Wildfires Monitoring Information System of the Federal Forestry Agency, https://pushkino.aviales.ru/main_pages/index.shtml (last access: 6 August 2025), 2025.
Iturbide, M., Gutiérrez, J. M., Alves, L. M., Bedia, J., Cerezo-Mota, R., Cimadevilla, E., Cofiño, A. S., Di Luca, A., Faria, S. H., Gorodetskaya, I. V., Hauser, M., Herrera, S., Hennessy, K., Hewitt, H. T., Jones, R. G., Krakovska, S., Manzanas, R., Martínez-Castro, D., Narisma, G. T., Nurhati, I. S., Pinto, I., Seneviratne, S. I., van den Hurk, B., and Vera, C. S.: An update of IPCC climate reference regions for subcontinental analysis of climate model data: definition and aggregated datasets, Earth Syst. Sci. Data, 12, 2959–2970, https://doi.org/10.5194/essd-12-2959-2020, 2020.
Jain, P., Coogan, S. C. P., Subramanian, S. G., Crowley, M., Taylor, S., and Flannigan, M. D.: A review of machine learning applications in wildfire science and management, Environ. Rev., 28, 478–505, https://doi.org/10.1139/er-2020-0019, 2020.
Jain, P., Barber, Q. E., Taylor, S., Whitman, E., Castellanos Acuna, D., Boulanger, Y., Chavardès, R. D., Chen, J., Englefield, P., Flannigan, M., Girardin, M. P., Hanes, C. C., Little, J., Morrison, K., Skakun, R. S., Thompson, D. K., Wang, X., and Parisien, M.-A.: Drivers and Impacts of the Record-Breaking 2023 Wildfire Season in Canada, Nat. Commun., 15, 6764, https://doi.org/10.1038/s41467-024-51154-7, 2024.
Jakimow, B., Griffiths, P., Van Der Linden, S., and Hostert, P.: Mapping pasture management in the Brazilian Amazon from dense Landsat time series, Remote Sens. Environ., 205, 453–468, https://doi.org/10.1016/j.rse.2017.10.009, 2018.
Jiang, Y., Zhou, L., Tucker, C. J., Raghavendra, A., Hua, W., Liu, Y. Y., and Joiner, J.: Widespread increase of boreal summer dry season length over the Congo rainforest, Nat. Clim. Change, 9, 617–622, https://doi.org/10.1038/s41558-019-0512-y, 2019.
Jin, Y., Goulden, M. L., Faivre, N., Veraverbeke, S., Sun, F., Hall, A., Hand, M. S., Hook, S., and Randerson, J. T.: Identification of two distinct fire regimes in Southern California: implications for economic impact and future change, Environ. Res. Lett., 10, 094005, https://doi.org/10.1088/1748-9326/10/9/094005, 2015.
Johnson, S. J., Stockdale, T. N., Ferranti, L., Balmaseda, M. A., Molteni, F., Magnusson, L., Tietsche, S., Decremer, D., Weisheimer, A., Balsamo, G., Keeley, S. P. E., Mogensen, K., Zuo, H., and Monge-Sanz, B. M.: SEAS5: the new ECMWF seasonal forecast system, Geosci. Model Dev., 12, 1087–1117, https://doi.org/10.5194/gmd-12-1087-2019, 2019.
Johnston, F. H., Borchers-Arriagada, N., Morgan, G. G., Jalaludin, B., Palmer, A. J., Williamson, G. J., and Bowman, D. M. J. S.: Unprecedented health costs of smoke-related PM2.5 from the 2019–20 Australian megafires, Nat. Sustain., 4, 42–47, https://doi.org/10.1038/s41893-020-00610-5, 2021.
Jolly, W. M., Cochrane, M. A., Freeborn, P. H., Holden, Z. A., Brown, T. J., Williamson, G. J., and Bowman, D. M. J. S.: Climate-induced variations in global wildfire danger from 1979 to 2013, Nat. Commun., 6, https://doi.org/10.1038/ncomms8537, 2015.
Jones, M. W., Abatzoglou, J. T., Veraverbeke, S., Andela, N., Lasslop, G., Forkel, M., Smith, A. J. P., Burton, C., Betts, R. A., van der Werf, G. R., Sitch, S., Canadell, J. G., Santín, C., Kolden, C., Doerr, S. H., and Le Quéré, C.: Global and Regional Trends and Drivers of Fire Under Climate Change, Rev. Geophys., 60, e2020RG000726, https://doi.org/10.1029/2020RG000726, 2022.
Jones, M. W., Veraverbeke, S., Andela, N., Doerr, S. H., Kolden, C., Mataveli, G., Pettinari, M. L., Le Quéré, C., Rosan, T. M., van der Werf, G. R., van Wees, D., and Abatzoglou, J. T.: Global rise in forest fire emissions linked to climate change in the extratropics, Science, 386, eadl5889, https://doi.org/10.1126/science.adl5889, 2024a.
Jones, M. W., Kelley, D. I., Burton, C. A., Di Giuseppe, F., Barbosa, M. L. F., Brambleby, E., Hartley, A. J., Lombardi, A., Mataveli, G., McNorton, J. R., Spuler, F. R., Wessel, J. B., Abatzoglou, J. T., Anderson, L. O., Andela, N., Archibald, S., Armenteras, D., Burke, E., Carmenta, R., Chuvieco, E., Clarke, H., Doerr, S. H., Fernandes, P. M., Giglio, L., Hamilton, D. S., Hantson, S., Harris, S., Jain, P., Kolden, C. A., Kurvits, T., Lampe, S., Meier, S., New, S., Parrington, M., Perron, M. M. G., Qu, Y., Ribeiro, N. S., Saharjo, B. H., San-Miguel-Ayanz, J., Shuman, J. K., Tanpipat, V., van der Werf, G. R., Veraverbeke, S., and Xanthopoulos, G.: State of Wildfires 2023–2024, Earth Syst. Sci. Data, 16, 3601–3685, https://doi.org/10.5194/essd-16-3601-2024, 2024b.
Jones, M. W., Andela, N., Brambleby, E., Chuvieco, E., Giglio, L., Kaiser, J. W., Parrington, M., Qu, Y., Torres-Vázquez, M. Á., van der Werf, G. R., and Veraverbeke, S.: State of Wildfires 2024–2025: Anomalies in Burned Area, Fire Emissions, and Individual Fire Characteristics by Continent, Biome, Country, and Administrative Region, Zenodo [data set], https://doi.org/10.5281/zenodo.15525674, 2025.
Jones, R. L., Kharb, A., and Tubeuf, S.: The untold story of missing data in disaster research: a systematic review of the empirical literature utilising the Emergency Events Database (EM-DAT), Environ. Res. Lett., 18, 103006, https://doi.org/10.1088/1748-9326/acfd42, 2023.
Jorge, A. L., Abatzoglou, J. T., Fleishman, E., Williams, E. L., Rupp, D. E., Jenkins, J. S., Sadegh, M., Kolden, C. A., and Short, K. C.: COVID-19 Fueled an Elevated Number of Human-Caused Ignitions in the Western United States During the 2020 Wildfire Season, Earth's Future, 13, e2024EF005744, https://doi.org/10.1029/2024EF005744, 2025.
Kaiser, J. W., Heil, A., Andreae, M. O., Benedetti, A., Chubarova, N., Jones, L., Morcrette, J.-J., Razinger, M., Schultz, M. G., Suttie, M., and van der Werf, G. R.: Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power, Biogeosciences, 9, 527–554, https://doi.org/10.5194/bg-9-527-2012, 2012.
Kam, P. M., Aznar-Siguan, G., Schewe, J., Milano, L., Ginnetti, J., Willner, S., McCaughey, J. W., and Bresch, D. N.: Global warming and population change both heighten future risk of human displacement due to river floods, Environ. Res. Lett., 16, 044026, https://doi.org/10.1088/1748-9326/abd26c, 2021.
Kam, P. M., Ciccone, F., Kropf, C. M., Riedel, L., Fairless, C., and Bresch, D. N.: Impact-based forecasting of tropical cyclone-related human displacement to support anticipatory action, Nat. Commun., 15, 8795, https://doi.org/10.1038/s41467-024-53200-w, 2024.
Karan, D. and Bhadra, S.: How Nepal Grew Back Its Forests, The New York Times, https://www.nytimes.com/2022/11/11/world/asia/nepal-reforestration-climate.html (last access: 6 August 2025), 2022.
Karuna Shechen: Extreme heat and wildfire in Nepal, https://karuna-shechen.org/en/extreme-heat-and-wildfires-in-nepal/ (last access: 6 August 2025), 2024.
Kasoar, M., Perkins, O., Millington, J. D. A., Mistry, J., and Smith, C.: Model fires, not ignitions: Capturing the human dimension of global fire regimes, Cell Reports Sustainability, 1, https://doi.org/10.1016/j.crsus.2024.100128, 2024.
Katz, R. W. and Giannini, A.: Climate Variability and Change in South America, in: Climate Change and Biodiversity in the Tropical Andes, Inter-American Institute for Global Change Research, ISBN 978-85-99875-05-6, 2010.
Keeley, J. E.: Native American impacts on fire regimes of the California coastal ranges, J. Biogeogr., 29, 303–320, https://doi.org/10.1046/j.1365-2699.2002.00676.x, 2002.
Keeley, J. E.: Fire intensity, fire severity and burn severity: a brief review and suggested usage, Int. J. Wildland Fire, 18, 116–126, https://doi.org/10.1071/WF07049, 2009.
Keeley, J. E. and Fotheringham, C. J.: Historic Fire Regime in Southern California Shrublands, Conserv. Biol., 15, 1536–1548, https://doi.org/10.1046/j.1523-1739.2001.00097.x, 2001.
Keeley, J. E., Fotheringham, C. J., and Morais, M.: Reexamining Fire Suppression Impacts on Brushland Fire Regimes, Science, 284, 1829–1832, https://doi.org/10.1126/science.284.5421.1829, 1999.
Kelley, D., Burton, C., Barbosa, M. L. F., Jones, M., Di Giuseppe, F., Hartley, A., McNorton, J., Spuler, F., Wessel, J., and Lampe, S.: douglask3/State_of_Wildfires_report: Final code used in published version of the first State of Wildfires report (v1.0), Zenodo [code], https://doi.org/10.5281/ZENODO.11460379, 2024.
Kelley, D., Ferreira Barbosa, M. L., Hartley, A., Spuler, F., Wessel, J., Ciavarella, A., McNorton, J., Burton, C., Ferreira, I., and Fiedler, L.: State of Wildfires 2024/25 – ConFLAME Driver Assessment – Congo Basin/Southern California, Zenodo [data set], https://doi.org/10.5281/ZENODO.16789657, 2025a.
Kelley, D., Ferreira Barbosa, M. L., Bradley, A., Burke, E., Burton, C., Hartley, A., Ferreira, I., and Hantson, S.: State of Wildfires 2024–2025: ConFLAME Future Projections, Zenodo [data set], https://doi.org/10.5281/ZENODO.15807587, 2025b.
Kelley, D., Ferreira Barbosa, M. L., Hartley, A., Spuler, F., Wessel, J., Ciavarella, A., McNorton, J., Burton, C., Ferreira, I., and Fiedler, L.: State of Wildfires 2024–2025: ConFLAME NRT Attribution Results, Zenodo [data set], https://doi.org/10.5281/ZENODO.15641876, 2025c.
Kelley, D. I., Bistinas, I., Whitley, R., Burton, C., Marthews, T. R., and Dong, N.: How contemporary bioclimatic and human controls change global fire regimes, Nat. Clim. Change, 9, 690–696, https://doi.org/10.1038/s41558-019-0540-7, 2019.
Kelley, D. I., Burton, C., Huntingford, C., Brown, M. A. J., Whitley, R., and Dong, N.: Technical note: Low meteorological influence found in 2019 Amazonia fires, Biogeosciences, 18, 787–804, https://doi.org/10.5194/bg-18-787-2021, 2021.
Kelly, L. T., Giljohann, K. M., Duane, A., Aquilué, N., Archibald, S., Batllori, E., Bennett, A. F., Buckland, S. T., Canelles, Q., Clarke, M. F., Fortin, M.-J., Hermoso, V., Herrando, S., Keane, R. E., Lake, F. K., McCarthy, M. A., Morán-Ordóñez, A., Parr, C. L., Pausas, J. G., Penman, T. D., Regos, A., Rumpff, L., Santos, J. L., Smith, A. L., Syphard, A. D., Tingley, M. W., and Brotons, L.: Fire and biodiversity in the Anthropocene, Science, 370, eabb0355, https://doi.org/10.1126/science.abb0355, 2020.
Kheshti, M.: Protect Iran's Zagros forests from wildfires, Science, 369, 1066–1066, https://doi.org/10.1126/science.abd2967, 2020.
Kim, J., Wise, A., and Bowman, E.: Strong winds pick up, increasing fire danger as firefighters battle LA blazes, https://www.npr.org/2025/01/11/g-s1-42247/la-wildfires-california-containment-evacuation (last access: 6 August 2025), 2025.
Kirillina, K., Shvetsov, E. G., Protopopova, V. V., Thiesmeyer, L., and Yan, W.: Consideration of anthropogenic factors in boreal forest fire regime changes during rapid socio-economic development: case study of forestry districts with increasing burnt area in the Sakha Republic, Russia, Environ. Res. Lett., 15, 035009, https://doi.org/10.1088/1748-9326/ab6c6e, 2020.
Kolden, C. A. and Abatzoglou, J. T.: Spatial Distribution of Wildfires Ignited under Katabatic versus Non-Katabatic Winds in Mediterranean Southern California USA, Fire, 1, 19, https://doi.org/10.3390/fire1020019, 2018.
Kolden, C. A., Abatzoglou, J. T., Jones, M. W., and Jain, P.: Wildfires in 2023, Nat. Rev. Earth Environ., 5, 238–240, https://doi.org/10.1038/s43017-024-00544-y, 2024.
Kolden, C. A., Abatzoglou, J. T., Jones, M. W., and Jain, P.: Wildfires in 2024, Nat. Rev. Earth Environ., 6, 237–239, https://doi.org/10.1038/s43017-025-00663-0, 2025.
Kouassi, J.-L., Wandan, N., and Mbow, C.: Exploring spatio-temporal trends and environmental drivers of wildfire occurrence and impacts in Côte d'Ivoire, West Africa, Afr. J. Ecol., 60, 1218–1236, https://doi.org/10.1111/aje.13066, 2022.
Kukavskaya, E. A., Buryak, L. V., Shvetsov, E. G., Conard, S. G., and Kalenskaya, O. P.: The impact of increasing fire frequency on forest transformations in southern Siberia, Forest Ecol. Manage., 382, 225–235, https://doi.org/10.1016/j.foreco.2016.10.015, 2016.
Lampe, S. and Burton, C.: State of Wildfires 2024–2025: FireMIP Burned Area Attribution, Zenodo [code], https://doi.org/10.5281/ZENODO.16779167, 2025.
Lange, S.: Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0), Geosci. Model Dev., 12, 3055–3070, https://doi.org/10.5194/gmd-12-3055-2019, 2019.
Lapola, D. M., Pinho, P., Barlow, J., Aragão, L. E. O. C., Berenguer, E., Carmenta, R., Liddy, H. M., Seixas, H., Silva, C. V. J., Silva-Junior, C. H. L., Alencar, A. A. C., Anderson, L. O., Armenteras, D., Brovkin, V., Calders, K., Chambers, J., Chini, L., Costa, M. H., Faria, B. L., Fearnside, P. M., Ferreira, J., Gatti, L., Gutierrez-Velez, V. H., Han, Z., Hibbard, K., Koven, C., Lawrence, P., Pongratz, J., Portela, B. T. T., Rounsevell, M., Ruane, A. C., Schaldach, R., da Silva, S. S., von Randow, C., and Walker, W. S.: The drivers and impacts of Amazon forest degradation, Science, 379, eabp8622, https://doi.org/10.1126/science.abp8622, 2023.
Latif, M., Anderson, D., Barnett, T., Cane, M., Kleeman, R., Leetmaa, A., O'Brien, J., Rosati, A., and Schneider, E.: A review of the predictability and prediction of ENSO, J. Geophys. Res.-Oceans, 103, 14375–14393, https://doi.org/10.1029/97JC03413, 1998.
Laurent, P., Mouillot, F., Yue, C., Ciais, P., Moreno, M. V., and Nogueira, J. M. P.: FRY, a global database of fire patch functional traits derived from space-borne burned area products, Sci. Data, 5, 180132, https://doi.org/10.1038/sdata.2018.132, 2018.
Lehmann, C. E. R., Anderson, T. M., Sankaran, M., Higgins, S. I., Archibald, S., Hoffmann, W. A., Hanan, N. P., Williams, R. J., Fensham, R. J., Felfili, J., Hutley, L. B., Ratnam, J., San Jose, J., Montes, R., Franklin, D., Russell-Smith, J., Ryan, C. M., Durigan, G., Hiernaux, P., Haidar, R., Bowman, D. M. J. S., and Bond, W. J.: Savanna Vegetation-Fire-Climate Relationships Differ Among Continents, Science, 343, 548–552, https://doi.org/10.1126/science.1247355, 2014.
Levin, M., Huffman, J., and Friedman, L.: Rep. Mike Levin Leads Letter Demanding Answers on US Army Corps of Engineers' Wasteful Water Release, https://levin.house.gov/media/press-releases/rep-mike-levin-leads-letter-demanding-answers-on-us-army-corps-of-engineers-wasteful-water-release (last access: 6 August 2025), 2025.
Li, S., Sparrow, S. N., Otto, F. E. L., Rifai, S. W., Oliveras, I., Krikken, F., Anderson, L. O., Malhi, Y., and Wallom, D.: Anthropogenic climate change contribution to wildfire-prone weather conditions in the Cerrado and Arc of deforestation, Environ. Res. Lett., 16, 094051, https://doi.org/10.1088/1748-9326/ac1e3a, 2021a.
Li, Y., Yuan, S., Fan, S., Song, Y., Wang, Z., Yu, Z., Yu, Q., and Liu, Y.: Satellite Remote Sensing for Estimating PM2.5 and Its Components, Curr. Pollution Rep., 7, 72–87, https://doi.org/10.1007/s40726-020-00170-4, 2021b.
Li, Y., Janssen, T. A. J., Chen, R., He, B., and Veraverbeke, S.: Trends and drivers of Arctic-boreal fire intensity between 2003 and 2022, Sci. Total Environ., 926, 172020, https://doi.org/10.1016/j.scitotenv.2024.172020, 2024.
Li, Z. and Yu, W.: Economic Impact of the Los Angeles Wildfires, https://www.anderson.ucla.edu/about/centers/ucla-anderson-forecast/economic-impact-los-angeles-wildfires (last access: 6 August 2025), 2025.
Libonati, R., Geirinhas, J. L., Silva, P. S., Russo, A., Rodrigues, J. A., Belé m, L. B. C., Nogueira, J., Roque, F. O., DaCamara, C. C., Nunes, A. M. B., Marengo, J. A., and Trigo, R. M.: Assessing the role of compound drought and heatwave events on unprecedented 2020 wildfires in the Pantanal, Environ. Res. Lett., 17, 015005, https://doi.org/10.1088/1748-9326/ac462e, 2022.
Linley, G. D., Jolly, C. J., Doherty, T. S., Geary, W. L., Armenteras, D., Belcher, C. M., Bliege Bird, R., Duane, A., Fletcher, M.-S., Giorgis, M. A., Haslem, A., Jones, G. M., Kelly, L. T., Lee, C. K. F., Nolan, R. H., Parr, C. L., Pausas, J. G., Price, J. N., Regos, A., Ritchie, E. G., Ruffault, J., Williamson, G. J., Wu, Q., and Nimmo, D. G.: What do you mean, “megafire”?, Global Ecol. Biogeogr., 31, 1906–1922, https://doi.org/10.1111/geb.13499, 2022.
Linley, G. D., Jolly, C. J., Doherty, T. S., Geary, W. L., Armenteras, D., Belcher, C. M., Bliege Bird, R., Duane, A., Fletcher, M.-S., Giorgis, M. A., Haslem, A., Jones, G. M., Kelly, L. T., Lee, C. K. F., Nolan, R. H., Parr, C. L., Pausas, J. G., Price, J. N., Regos, A., Ritchie, E. G., Ruffault, J., Williamson, G. J., Wu, Q., and Nimmo, D. G.: “Megafire” – You May Not Like It, But You Cannot Avoid It, Global Ecol. Biogeogr., 34, e70032, https://doi.org/10.1111/geb.70032, 2025.
Littell, J. S., Peterson, D. L., Riley, K. L., Liu, Y., and Luce, C. H.: A review of the relationships between drought and forest fire in the United States, Glob. Change Biol., 22, 2353–2369, https://doi.org/10.1111/gcb.13275, 2016.
Liu, Z. and Eden, J.: State of Wildfires 2024–2025 – GWL FWI projections, Zenodo [data set], https://doi.org/10.5281/ZENODO.15790287, 2025.
Liu, Z., Eden, J. M., Dieppois, B., Conradie, W. S., and Blackett, M.: The April 2021 Cape Town Wildfire: Has Anthropogenic Climate Change Altered the Likelihood of Extreme Fire Weather?, B. Am. Meteorol. Soc., 104, E298–E304, https://doi.org/10.1175/BAMS-D-22-0204.1, 2023b.
Lizundia-Loiola, J., Otón, G., Ramo, R., and Chuvieco, E.: A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data, Remote Sens. Environ., 236, 111493, https://doi.org/10.1016/j.rse.2019.111493, 2020a.
Lizundia-Loiola, J., Pettinari, M. L., and Chuvieco, E.: Temporal Anomalies in Burned Area Trends: Satellite Estimations of the Amazonian 2019 Fire Crisis, Remote Sensing, 12, 151, https://doi.org/10.3390/rs12010151, 2020b.
Lizundia-Loiola, J., Franquesa, M., Khairoun, A., and Chuvieco, E.: Global burned area mapping from Sentinel-3 Synergy and VIIRS active fires, Remote Sens. Environ., 282, 113298, https://doi.org/10.1016/j.rse.2022.113298, 2022.
Los Angeles County Economic Development Corporation: Impact of 2025 Los Angeles Wildfires and Comparative Study, https://laedc.org/wpcms/wp-content/uploads/2025/02/LAEDC-2025-LA-Wildfires-Study.pdf (last access: 6 August 2025), 2025.
Lundberg, S. and Lee, S. I.: A Unified Approach to Interpreting Model Predictions, arXiv [preprint], https://doi.org/10.48550/arXiv.1705.07874, 2017.
Lüthi, S., Aznar-Siguan, G., Fairless, C., and Bresch, D. N.: Globally consistent assessment of economic impacts of wildfires in CLIMADA v2.2, Geosci. Model Dev., 14, 7175–7187, https://doi.org/10.5194/gmd-14-7175-2021, 2021.
Machado-Silva, F., Libonati, R., Melo De Lima, T. F., Bittencourt Peixoto, R., De Almeida França, J. R., De Avelar Figueiredo Mafra Magalhães, M., Lemos Maia Santos, F., Abrantes Rodrigues, J., and DaCamara, C. C.: Drought and fires influence the respiratory diseases hospitalizations in the Amazon, Ecological Indicators, 109, 105817, https://doi.org/10.1016/j.ecolind.2019.105817, 2020.
Malhi, Y., Wood, D., Baker, T. R., Wright, J., Phillips, O. L., Cochrane, T., Meir, P., Chave, J., Almeida, S., Arroyo, L., Higuchi, N., Killeen, T. J., Laurance, S. G., Laurance, W. F., Lewis, S. L., Monteagudo, A., Neill, D. A., Vargas, P. N., Pitman, N. C. A., Quesada, C. A., Salomão, R., Silva, J. N. M., Lezama, A. T., Terborgh, J., Martínez, R. V., and Vinceti, B.: The regional variation of aboveground live biomass in old-growth Amazonian forests, Glob. Change Biol., 12, 1107–1138, https://doi.org/10.1111/j.1365-2486.2006.01120.x, 2006.
Marques, J. F., Alves, M. B., Silveira, C. F., Amaral e Silva, A., Silva, T. A., dos Santos, V. J., and Calijuri, M. L.: Fires dynamics in the Pantanal: Impacts of anthropogenic activities and climate change, J. Environ. Manage., 299, 113586, https://doi.org/10.1016/j.jenvman.2021.113586, 2021.
Masoudian, E., Mirzaei, A., and Bagheri, H.: Assessing wildfire susceptibility in Iran: Leveraging machine learning for geospatial analysis of climatic and anthropogenic factors, Trees, Forests and People, 19, 100774, https://doi.org/10.1016/j.tfp.2025.100774, 2025.
Mastrandrea, M. D., Field, C. B., Stocker, T. F., Edenhofer, O., Ebi, K. L., Frame, D. J., Held, H., Kriegler, E., Mach, K. J., Matschoss, P. R., Plattner, G.-K., Yohe, G. W., and Zwiers, F. W.: Guidance note for lead authors of the IPCC fifth assessment report on consistent treatment of uncertainties, Intergovernmental Panel on Climate Change (IPCC), https://www.ipcc.ch/site/assets/uploads/2018/05/uncertainty-guidance-note.pdf (last access: 14 October 2025), 2010.
Mataveli, G., Jones, M. W., Carmenta, R., Sanchez, A., Dutra, D. J., Chaves, M., de Oliveira, G., Anderson, L. O., and Aragão, L. E. O. C.: Deforestation falls but rise of wildfires continues degrading Brazilian Amazon forests, Glob. Change Biol., 30, e17202, https://doi.org/10.1111/gcb.17202, 2024.
Mataveli, G., Maure, L. A., Sanchez, A., Dutra, D. J., de Oliveira, G., Jones, M. W., Amaral, C., Artaxo, P., and Aragão, L. E. O. C.: Forest Degradation Is Undermining Progress on Deforestation in the Amazon, Glob. Change Biol., 31, e70209, https://doi.org/10.1111/gcb.70209, 2025.
Mathison, C., Burke, E., Hartley, A. J., Kelley, D. I., Burton, C., Robertson, E., Gedney, N., Williams, K., Wiltshire, A., Ellis, R. J., Sellar, A. A., and Jones, C. D.: Description and evaluation of the JULES-ES set-up for ISIMIP2b, Geosci. Model Dev., 16, 4249–4264, https://doi.org/10.5194/gmd-16-4249-2023, 2023.
Mattson-Teig, B.: January 2025 Economist Snapshot: Los Angeles Wildfires Recovery Will Be Costly and Lengthy, Urban Land, https://urbanland.uli.org/capital-markets-and-finance/january-economist-snapshot-los-angeles-wildfires-recovery-will-be-costly-and-lengthy (last access: 6 August 2025), 2025.
Mauritsen, T., Bader, J., Becker, T., Behrens, J., Bittner, M., Brokopf, R., Brovkin, V., Claussen, M., Crueger, T., Esch, M., Fast, I., Fiedler, S., Fläschner, D., Gayler, V., Giorgetta, M., Goll, D. S., Haak, H., Hagemann, S., Hedemann, C., Hohenegger, C., Ilyina, T., Jahns, T., Jimenéz-de-la-Cuesta, D., Jungclaus, J., Kleinen, T., Kloster, S., Kracher, D., Kinne, S., Kleberg, D., Lasslop, G., Kornblueh, L., Marotzke, J., Matei, D., Meraner, K., Mikolajewicz, U., Modali, K., Möbis, B., Müller, W. A., Nabel, J. E. M. S., Nam, C. C. W., Notz, D., Nyawira, S.-S., Paulsen, H., Peters, K., Pincus, R., Pohlmann, H., Pongratz, J., Popp, M., Raddatz, T. J., Rast, S., Redler, R., Reick, C. H., Rohrschneider, T., Schemann, V., Schmidt, H., Schnur, R., Schulzweida, U., Six, K. D., Stein, L., Stemmler, I., Stevens, B., von Storch, J.-S., Tian, F., Voigt, A., Vrese, P., Wieners, K.-H., Wilkenskjeld, S., Winkler, A., and Roeckner, E.: Developments in the MPI-M Earth System Model version 1.2 (MPI-ESM1.2) and Its Response to Increasing CO2, J. Adv. Model. Earth Sy., 11, 998–1038, https://doi.org/10.1029/2018MS001400, 2019.
McNorton, J. R. and Di Giuseppe, F.: A global fuel characteristic model and dataset for wildfire prediction, Biogeosciences, 21, 279–300, https://doi.org/10.5194/bg-21-279-2024, 2024.
McNorton, J., Moreno, A., Turco, M., Keune, J., and Di Giuseppe, F.: Hydroclimatic Rebound Drives Extreme Fire in California's Non-Forested Ecosystems, Glob. Change Biol., 31, e70481, https://doi.org/10.1111/gcb.70481, 2025.
McNorton, J. R., Giuseppe, F. D., Pinnington, E. M., Chantry, M., and Barnard, C.: A Global Probability-of-Fire (PoF) Forecast, Geophys. Res. Lett., 51, e2023GL107929, https://doi.org/10.1029/2023GL107929, 2024.
McPhaden, M. J., Jarugula, S., Aroucha, L. C., and Lübbecke, J. F.: Indian Ocean Dipole intensifies Benguela Niño through Congo River discharge, Commun. Earth Environ., 5, 779, https://doi.org/10.1038/s43247-024-01955-x, 2024.
Meddour-Sahar, O., Lovreglio, R., Meddour, R., Leone, V., and Derridj, A.: Fire and People in Three Rural Communities in Kabylia (Algeria): Results of a Survey, Open Journal of Forestry, 3, 30–40, https://doi.org/10.4236/ojf.2013.31006, 2013.
Meier, S., Strobl, E., and Elliott, R. J. R.: The impact of wildfire smoke exposure on excess mortality and later-life socioeconomic outcomes: the Great Fire of 1910, Cliometrica, 19, 279–342, https://doi.org/10.1007/s11698-024-00297-0, 2025.
Menezes, L. S., De Oliveira, A. M., Santos, F. L. M., Russo, A., De Souza, R. A. F., Roque, F. O., and Libonati, R.: Lightning patterns in the Pantanal: Untangling natural and anthropogenic-induced wildfires, Sci. Total Environ., 820, 153021, https://doi.org/10.1016/j.scitotenv.2022.153021, 2022.
Mengel, M., Treu, S., Lange, S., and Frieler, K.: ATTRICI v1.1 – counterfactual climate for impact attribution, Geosci. Model Dev., 14, 5269–5284, https://doi.org/10.5194/gmd-14-5269-2021, 2021.
Met Office: EUCLEIA: European Climate and weather Events: Interpretation and Attribution , http://catalogue.ceda.ac.uk/uuid/99b29b4bfeae470599fb96243e90cde3, last access: 6 August 2025.
Michaelowa, A., Michaelowa, K., Shishlov, I., and Brescia, D.: Catalysing private and public action for climate change mitigation: the World Bank's role in international carbon markets, Climate Policy, 21, 120–132, https://doi.org/10.1080/14693062.2020.1790334, 2021.
Millington, J. D. A., Perkins, O., and Smith, C.: Human Fire Use and Management: A Global Database of Anthropogenic Fire Impacts for Modelling, Fire, 5, 87, https://doi.org/10.3390/fire5040087, 2022.
Ministerio de Medio Ambiente y agua: Ministerio de Medio Ambiente Lleva Adelante su Rendición Pública de Cuentas Inicial, Ministerio de Medio Ambiente y Agua, https://www.mmaya.gob.bo/2025/04/14/ministerio-de-medio-ambiente-lleva-adelante-su-rendicion-publica-de-cuentas-inicial-2025/ (last access: 6 August 2025),2025.
Molinario, G., Hansen, M. C., and Potapov, P. V.: Forest cover dynamics of shifting cultivation in the Democratic Republic of Congo: a remote sensing-based assessment for 2000–2010, Environ. Res. Lett., 10, 094009, https://doi.org/10.1088/1748-9326/10/9/094009, 2015.
Molinario, G., Hansen, M., Potapov, P., Tyukavina, A., and Stehman, S.: Contextualizing Landscape-Scale Forest Cover Loss in the Democratic Republic of Congo (DRC) between 2000 and 2015, Land, 9, 23, https://doi.org/10.3390/land9010023, 2020.
Morcrette, J.-J., Boucher, O., Jones, L., Salmond, D., Bechtold, P., Beljaars, A., Benedetti, A., Bonet, A., Kaiser, J. W., Razinger, M., Schulz, M., Serrar, S., Simmons, A. J., Sofiev, M., Suttie, M., Tompkins, A. M., and Untch, A.: Aerosol analysis and forecast in the European Centre for Medium-Range Weather Forecasts Integrated Forecast System: Forward modeling, J. Geophys. Res.-Atmos., 114, https://doi.org/10.1029/2008JD011235, 2009.
Moreira, F., Ascoli, D., Safford, H., Adams, M. A., Moreno, J. M., Pereira, J. M. C., Catry, F. X., Armesto, J., Bond, W., González, M. E., Curt, T., Koutsias, N., McCaw, L., Price, O., Pausas, J. G., Rigolot, E., Stephens, S., Tavsanoglu, C., Vallejo, V. R., Wilgen, B. W. V., Xanthopoulos, G., and Fernandes, P. M.: Wildfire management in Mediterranean-type regions: paradigm change needed, Environ. Res. Lett., 15, 011001, https://doi.org/10.1088/1748-9326/ab541e, 2020.
Morningstar DBRS: Aftermath of Los Angeles Wildfires: A Wake-Up Call for Property and Casualty Insurers and Regulators, https://dbrs.morningstar.com/research/451515/aftermath-of-los-angeles-wildfires-a-wake-up-call-for-property-casualty-insurers-and-regulators (last access: 6 August 2025), 2025.
Muñoz-Sabater, J., Dutra, E., Agustí-Panareda, A., Albergel, C., Arduini, G., Balsamo, G., Boussetta, S., Choulga, M., Harrigan, S., Hersbach, H., Martens, B., Miralles, D. G., Piles, M., Rodríguez-Fernández, N. J., Zsoter, E., Buontempo, C., and Thépaut, J.-N.: ERA5-Land: a state-of-the-art global reanalysis dataset for land applications, Earth Syst. Sci. Data, 13, 4349–4383, https://doi.org/10.5194/essd-13-4349-2021, 2021.
N1info: Serbia sees 135 wildfires in the past 24 hours, N1, https://n1info.rs/english/news/serbia-sees-135-wildfires-in-the-past-24-hours/ (last access: 6 August 2025), 2024.
Narita, D., Gavrilyeva, T., and Isaev, A.: Impacts and management of forest fires in the Republic of Sakha, Russia: A local perspective for a global problem, Polar Sci., 27, 100573, https://doi.org/10.1016/j.polar.2020.100573, 2021.
NASA Earth Observatory: Early Fires in Brazil's Pantanal, https://earthobservatory.nasa.gov/images/152925/early-fires-in-brazils-pantanal (last access: 6 August 2025), 2024a.
NASA Earth Observatory: Fire in Southern Mexico, https://earthobservatory.nasa.gov/images/152628/fire-in-southern-mexico (last access: 6 August 2025), 2024b.
NASA Earth Observatory: Intense, Widespread Drought Grips South America, https://earthobservatory.nasa.gov/images/153447/intense-widespread-drought-grips-south-america (last access: 6 August 2025), 2024c.
NASA FIRMS: Fire Information for Resource Management System. MODIS and VIIRS Fire Data [data set], https://firms.modaps.eosdis.nasa.gov/ (last access: 6 August 2025), 2025.
National Centers for Environmental Information (NCEI): U.S. Drought: Monthly Changes and Impacts for June 2025, https://www.ncei.noaa.gov/news/us-drought-monthly-report-June-2025 (last access: 6 August 2025), 2025.
National Interagency Coordination Center: National Interagency Coordination Center Wildland Fire Summary and Statistics Annual Report 2024, https://www.nifc.gov/sites/default/files/NICC/2-Predictive%20Services/Intelligence/Annual%20Reports/2024/annual_report_2024.pdf (last access: 6 August 2025), 2024.
National Interagency Fire Center (NIFC): National Significant Wildland Fire Potential Outlook, https://www.nifc.gov/nicc-files/predictive/outlooks/monthly_seasonal_outlook.pdf (last access: 6 August 2025), 2025.
N'Dri, A. B., Soro, T. D., Gignoux, J., Dosso, K., Koné, M., N'Dri, J. K., Koné, N. A., and Barot, S.: Season affects fire behavior in annually burned humid savanna of West Africa, Fire Ecology, 14, 5, https://doi.org/10.1186/s42408-018-0005-9, 2018.
N'Dri, A. B., Kpangba, K. P., Werner, P. A., Koffi, K. F., and Bakayoko, A.: The response of sub-adult savanna trees to six successive annual fires: An experimental field study on the role of fire season, J. Appl. Ecol., 59, 1347–1361, https://doi.org/10.1111/1365-2664.14149, 2022.
N'Dri, A. B., Kpré, A. J.-N., and Doumbia, A.: Managing fires in a woody encroachment context: Fine fuel load does not change across fire seasons in a Guinean savanna (West Africa), J. Environ. Manage., 371, 123236, https://doi.org/10.1016/j.jenvman.2024.123236, 2024.
New York Times: Swept by the Fires, Away From Their Lives, The New York Times, https://www.nytimes.com/2025/05/16/realestate/la-fire-victims-altadena-palisades.html (last access: 6 August 2025), 2025.
Newton, P., Kinzer, A. T., Miller, D. C., Oldekop, J. A., and Agrawal, A.: The Number and Spatial Distribution of Forest-Proximate People Globally, One Earth, 3, 363–370, https://doi.org/10.1016/j.oneear.2020.08.016, 2020.
NHK (Japan Broadcasting Corporation): Wildfire declared extinguished in Japan's Ofunato City after 40 days, https://www3.nhk.or.jp/nhkworld/en/news/20250408_01/ (last access: 6 August 2025), 2025.
NOAA Climate Prediction Center (CPC): ENSO: Recent Evolution, Current Status and Predictions, https://www.cpc.ncep.noaa.gov/ (last access: 6 August 2025), 2024.
National Oceanic and Atmospheric Administration (NOAA): Monthly Global Climate Report for Annual 2024, https://www.ncei.noaa.gov/access/monitoring/monthly-report/global/202413 (last access: 6 August 2025), 2025.
Nolan, R. H., Collins, L., Leigh, A., Ooi, M. K. J., Curran, T. J., Fairman, T. A., Resco de Dios, V., and Bradstock, R.: Limits to post-fire vegetation recovery under climate change, 2021a, Plant Cell Environ., 44, 3471–3489, https://doi.org/10.1111/pce.14176, 2021a.
Novinite: Bulgaria's Prime Minister Calls for Aid as Fires Threaten Yambol Villages, https://www.novinite.com/articles/227226/Bulgaria%27s+Prime+Minister+Calls+for+Aid+as+Fires+Threaten+Yambol+Villages (last access: 14 October 2025), 2024.
Nunes, V.: Pantanal em chamas: Incêndio na Serra do Amolar mobiliza forças e alerta sobre a preservação ambiental, Notícias de Campo Grande e MS – Capital News, https://www.capitalnews.com.br/retrospectiva/2024/pantanal-em-chamas-incendio-na-serra-do-amolar-mobiliza-forcas-e-alerta-sobre-a-preservacao-ambiental/414842 (last access: 6 August 2025), 2025.
OECD: Taming Wildfires in the Context of Climate Change, OECD, https://doi.org/10.1787/dd00c367-en, 2023.
Olson, D. M., Dinerstein, E., Wikramanayake, E. D., Burgess, N. D., Powell, G. V. N., Underwood, E. C., D'amico, J. A., Itoua, I., Strand, H. E., Morrison, J. C., Loucks, C. J., Allnutt, T. F., Ricketts, T. H., Kura, Y., Lamoreux, J. F., Wettengel, W. W., Hedao, P., and Kassem, K. R.: Terrestrial Ecoregions of the World: A New Map of Life on Earth, BioScience, 51, 933, https://doi.org/10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2, 2001.
Otto, F. E. L., Philip, S., Kew, S., Li, S., King, A., and Cullen, H.: Attributing high-impact extreme events across timescales – a case study of four different types of events, Climatic Change, 149, 399–412, https://doi.org/10.1007/s10584-018-2258-3, 2018a.
Otto, F. E. L., Van Der Wiel, K., Van Oldenborgh, G. J., Philip, S., Kew, S. F., Uhe, P., and Cullen, H.: Climate change increases the probability of heavy rains in Northern England/Southern Scotland like those of storm Desmond – a real-time event attribution revisited, Environ. Res. Lett., 13, 024006, https://doi.org/10.1088/1748-9326/aa9663, 2018b.
Ozerkan, F.: Turkey battles forest fires for third day, https://phys.org/news/2024-08-turkey-forest-day.html (last access: 6 August 2025), 2024.
Paglino, E., Raquib, R. V., and Stokes, A. C.: Excess Deaths Attributable to the Los Angeles Wildfires From January 5 to February 1, 2025, JAMA, 334, 1018, https://doi.org/10.1001/jama.2025.10556, 2025.
Pai, S. J., Carter, T. S., Heald, C. L., and Kroll, J. H.: Updated World Health Organization Air Quality Guidelines Highlight the Importance of Non-anthropogenic PM2.5, Environ. Sci. Tech. Lett., 9, 501–506, https://doi.org/10.1021/acs.estlett.2c00203, 2022.
Pan, X., Chin, M., Ichoku, C. M., and Field, R. D.: Connecting Indonesian Fires and Drought With the Type of El Niño and Phase of the Indian Ocean Dipole During 1979–2016, J. Geophys. Res.-Atmos., 123, 7974–7988, https://doi.org/10.1029/2018JD028402, 2018.
Papelo, J.: Desastre ambiental: implicações das queimadas e desmatamentos no interior do País, Novo Jornal, https://novojornal.co.ao/opiniao/detalhe/desastre-ambiental-implicacoes-das-queimadas-e-desmatamentos-no-interior-do-pais-36744.html (last access: 6 August 2025), 2024.
Parks, S. A., Miller, C., Parisien, M.-A., Holsinger, L. M., Dobrowski, S. Z., and Abatzoglou, J.: Wildland fire deficit and surplus in the western United States, 1984–2012, Ecosphere, 6, 1–13, https://doi.org/10.1890/ES15-00294.1, 2015.
Parks Canada: Jasper Wildfire 2024, https://parks.canada.ca/pn-np/ab/jasper/visit/feu-alert-fire/feudeforet-jasper-wildfire (last access: 6 August 2025), 2024.
Parrington, M. and Di Tomaso, E.: Monitoring the 2024 Canada wildfires in CAMS, ECMWF, https://www.ecmwf.int/en/newsletter/181/news/monitoring-2024-canada-wildfires-cams (last access: 6 August 2025), 2024.
Parrington, M. and Di Tomaso, E.: Monitoring the 2024 Canada wildfires in CAMS, https://www.ecmwf.int/en/newsletter/181/news/monitoring-2024-canada-wildfires-cams (last access: 6 August 2025), 2025.
Pasadena Office of the City Manager: Pasadena Drinking Water System Impacted by Eaton Fire, https://www.cityofpasadena.net/city-manager/news/pasadena-drinking-water-system-impacted-by-eaton-fire/ (last access: 6 August 2025), 2025.
Pascoe, J., Shanks, M., Pascoe, B., Clarke, J., Goolmeer, T., Moggridge, B., Williamson, B., Miller, M., Costello, O., and Fletcher, M.: Lighting a pathway: Our obligation to culture and Country, Eco Management Restoration, 24, 153–155, https://doi.org/10.1111/emr.12592, 2023.
Pausas, J. G. and Keeley, J. E.: Evolutionary fire ecology: An historical account and future directions, BioScience, 73, 602–608, https://doi.org/10.1093/biosci/biad059, 2023.
Pausas, J. G., Keeley, J. E., and Bond, W. J.: The role of fire on Earth, Bioscience, biaf132, https://doi.org/10.1093/biosci/biaf132, 2025.
Perkins, O., Kasoar, M., Voulgarakis, A., Smith, C., Mistry, J., and Millington, J. D. A.: A global behavioural model of human fire use and management: WHAM! v1.0, Geosci. Model Dev., 17, 3993–4016, https://doi.org/10.5194/gmd-17-3993-2024, 2024.
Perry, M. C., Vanvyve, E., Betts, R. A., and Palin, E. J.: Past and future trends in fire weather for the UK, Nat. Hazards Earth Syst. Sci., 22, 559–575, https://doi.org/10.5194/nhess-22-559-2022, 2022.
Persson, F.: Large reduction in the number of forest fire operations in 2024, Swedish Firefighters, https://firefighters.se/2024/10/14/stor-minskning-i-antalet-skogsbrandsinsatser-2024/ (last acccess: 6 August 2025), 2024.
Peuch, V.-H., Engelen, R., Rixen, M., Dee, D., Flemming, J., Suttie, M., Ades, M., Agustí-Panareda, A., Ananasso, C., Andersson, E., Armstrong, D., Barré, J., Bousserez, N., Dominguez, J. J., Garrigues, S., Inness, A., Jones, L., Kipling, Z., Letertre-Danczak, J., Parrington, M., Razinger, M., Ribas, R., Vermoote, S., Yang, X., Simmons, A., Marcilla, J. G. de, and Thépaut, J.-N.: The Copernicus Atmosphere Monitoring Service: From Research to Operations, B. Am. Meteorol. Soc., 103, E2650–E2668, https://doi.org/10.1175/BAMS-D-21-0314.1, 2022.
Phillips, C. A., Rogers, B. M., Elder, M., Cooperdock, S., Moubarak, M., Randerson, J. T., and Frumhoff, P. C.: Escalating carbon emissions from North American boreal forest wildfires and the climate mitigation potential of fire management, Sci. Adv., 8, eabl7161, https://doi.org/10.1126/sciadv.abl7161, 2022.
Pismel, G. O., Marchezini, V., Selaya, G., de Paula, Y. A. P., Mendoza, E., and Anderson, L. O.: Wildfire governance in a tri-national frontier of southwestern Amazonia: Capacities and vulnerabilities, Int. J. Disaster Risk Reduct., 86, 103529, https://doi.org/10.1016/j.ijdrr.2023.103529, 2023.
Pivello, V. R., Vieira, I., Christianini, A. V., Ribeiro, D. B., da Silva Menezes, L., Berlinck, C. N., Melo, F. P. L., Marengo, J. A., Tornquist, C. G., Tomas, W. M., and Overbeck, G. E.: Understanding Brazil's catastrophic fires: Causes, consequences and policy needed to prevent future tragedies, Perspectives in Ecology and Conservation, 19, 233–255, https://doi.org/10.1016/j.pecon.2021.06.005, 2021.
Polade, S. D., Pierce, D. W., Cayan, D. R., Gershunov, A., and Dettinger, M. D.: The key role of dry days in changing regional climate and precipitation regimes, Sci. Rep., 4, 4364, https://doi.org/10.1038/srep04364, 2014.
PreventionWeb: The financial costs of the California wildfires, https://www.preventionweb.net/news/financial-costs-california-wildfires (last access: 6 August 2026), 2025.
Pronger, J., Price, R., Schindler, J., Robertson, H., and West, D.: Estimating carbon emissions from peatland fires at Kaimaumau–Motutangi and Awarua wetlands, Manaaki Whenua Landcare Research, https://www.doc.govt.nz/globalassets/documents/conservation/land-and-freshwater/wetlands/estimating-carbon-emissions-from-peatland-fires.pdf (last access: 6 August 2025), 2024.
Pyne, S. J.: Fire: A Brief History, University of Washington Press, https://doi.org/10.1515/9780295803272, 2011.
Radio Bulgaria: Dangerous fire near Sakar mountain now under control, combating the flames in Slavyanka continues, https://bnr.bg/en/post/102030013/dangerous-fire-near-sakar-mountain-now-under-control-combating-the-flames-in-slavyanka-continues (last access: 6 August 2025), 2024.
Reddington, C. L., Butt, E. W., Ridley, D. A., Artaxo, P., Morgan, W. T., Coe, H., and Spracklen, D. V.: Air quality and human health improvements from reductions in deforestation-related fire in Brazil, Nat. Geosci., 8, 768–771, https://doi.org/10.1038/ngeo2535, 2015.
Rémy, S., Veira, A., Paugam, R., Sofiev, M., Kaiser, J. W., Marenco, F., Burton, S. P., Benedetti, A., Engelen, R. J., Ferrare, R., and Hair, J. W.: Two global data sets of daily fire emission injection heights since 2003, Atmos. Chem. Phys., 17, 2921–2942, https://doi.org/10.5194/acp-17-2921-2017, 2017.
Rémy, S., Kipling, Z., Huijnen, V., Flemming, J., Nabat, P., Michou, M., Ades, M., Engelen, R., and Peuch, V.-H.: Description and evaluation of the tropospheric aerosol scheme in the Integrated Forecasting System (IFS-AER, cycle 47R1) of ECMWF, Geosci. Model Dev., 15, 4881–4912, https://doi.org/10.5194/gmd-15-4881-2022, 2022.
Rémy, S., Metzger, S., Huijnen, V., Williams, J. E., and Flemming, J.: An improved representation of aerosol in the ECMWF IFS-COMPO 49R1 through the integration of EQSAM4Climv12 – a first attempt at simulating aerosol acidity, Geosci. Model Dev., 17, 7539–7567, https://doi.org/10.5194/gmd-17-7539-2024, 2024.
Reuters: Forest fires raze parts of India amid heat, dry weather, Reuters, https://www.reuters.com/world/india/forest-fires-raze-parts-india-amid-heat-dry-weather-2024-04-30/ (last access: 6 August 2025), 2024.
Ribeiro, A. F. S., Brando, P. M., Santos, L., Rattis, L., Hirschi, M., Hauser, M., Seneviratne, S. I., and Zscheischler, J.: A compound event-oriented framework to tropical fire risk assessment in a changing climate, Environ. Res. Lett., 17, 065015, https://doi.org/10.1088/1748-9326/ac7342, 2022.
Riedel, L., Schmid, T., Röösli, T., Steinmann, C. B., Schmid, E., Bresch, D. N., and Kropf, C. M.: Ensemble of tragedies: Climate risk model calibration under deep uncertainty, ESS Open Archive [preprint], https://doi.org/10.22541/essoar.174786012.24238776/v1, 2025.
Roads, J., Fujioka, F., Chen, S., and Burgan, R.: Seasonal fire danger forecasts for the USA, Int. J. Wildland Fire, 14, 1–18, https://doi.org/10.1071/WF03052, 2005.
Roberts, G. and Wooster, M. J.: Development of a multi-temporal Kalman filter approach to geostationary active fire detection and fire radiative power (FRP) estimation, Remote Sens. Environ., 152, 392–412, https://doi.org/10.1016/j.rse.2014.06.020, 2014.
Roberts, G., Wooster, M. J., Lauret, N., Gastellu-Etchegorry, J.-P., Lynham, T., and McRae, D.: Investigating the impact of overlying vegetation canopy structures on fire radiative power (FRP) retrieval through simulation and measurement, Remote Sens. Environ., 217, 158–171, https://doi.org/10.1016/j.rse.2018.08.015, 2018.
Román, M. O., Wang, Z., Sun, Q., Kalb, V., Miller, S. D., Molthan, A., Schultz, L., Bell, J., Stokes, E. C., Pandey, B., Seto, K. C., Hall, D., Oda, T., Wolfe, R. E., Lin, G., Golpayegani, N., Devadiga, S., Davidson, C., Sarkar, S., Praderas, C., Schmaltz, J., Boller, R., Stevens, J., Ramos González, O. M., Padilla, E., Alonso, J., Detrés, Y., Armstrong, R., Miranda, I., Conte, Y., Marrero, N., MacManus, K., Esch, T., and Masuoka, E. J.: NASA's Black Marble nighttime lights product suite, Remote Sens. Environ., 210, 113–143, https://doi.org/10.1016/j.rse.2018.03.017, 2018.
Romero-Muñoz, A., Jansen, M., Nuñez, A. M., Toledo, M., Almonacid, R. V., and Kuemmerle, T.: Fires scorching Bolivia's Chiquitano forest, Science, 366, 1082–1082, https://doi.org/10.1126/science.aaz7264, 2019.
Romps, D. M.: Evaluating the Future of Lightning in Cloud-Resolving Models, Geophys. Res. Lett., 46, 14863–14871, https://doi.org/10.1029/2019GL085748, 2019.
Rosleskhoz: Operational data on the forest fire season in Russia, https://rosleshoz.gov.ru/news/federal/rosleskhoz-v-2024-kolichestvo-lesnykh-pozharov-sokratilos-v-1-5-raza-v-sravnenii-so-srednepyatiletnimi-znacheniyami-n11213/ (last access: 6 August 2025), 2024.
Ruf, F., Kone, S., and Bebo, B.: Le boom de l'anacarde en Côte d'Ivoire: transition écologique et sociale des systèmes à base de coton et de cacao, Cah. Agric., 28, 21, https://doi.org/10.1051/cagri/2019019, 2019.
Ruiz, F. C.: Monitoreo espacio-temporal de complejos de incendios forestales: integración de focos de calor viirs, https://proceedings.science/sbsr-2025/trabalhos/monitoreo-espacio-temporal-de-complejos-de-incendios-forestales-integracion-de-f?lang=en (last access: 6 August 2025), 2025.
Ruscalleda-Alvarez, J., Cliff, H., Catt, G., Holmes, J., Burrows, N., Paltridge, R., Russell-Smith, J., Schubert, A., See, P., and Legge, S.: Right-way fire in Australia's spinifex deserts: An approach for measuring management success when fire activity varies substantially through space and time, J. Environ. Manage., 331, 117234, https://doi.org/10.1016/j.jenvman.2023.117234, 2023.
S2ID: Sistema Integrado de Informações sobre Desastres, https://s2id.mi.gov.br/ (last access: 6 August 2025), 2024.
Saini, V.: A “Himalayan” Crisis: Understanding Wildfires in Uttarakhand and India, Climate Fact Checks, https://climatefactchecks.org/a-himalayan-crisis-understanding-wildfires-in-uttarakhand-and-india/ (last access: 6 August 2025), 2024.
Sanju, P., Gaganshila, K., and Mahesh, K.: Over 230 homes, animal sheds gutted in multiple fires across western Nepal since Saturday, The Kathmandu Post, https://kathmandupost.com/national/2024/04/22/over-230-homes-animal-sheds-gutted-in-multiple-fires-across-western-nepal-since-saturday (last access: 6 August 2025), 2024.
San-Miguel-Ayanz, J., Durrant, T., Boca, R., Maianti, P., Libertà, G., Jacome Felix Oom, D., Branco, A., De Rigo, D., Suarez-Moreno, M., Ferrari, D., Roglia, E., Scionti, N., Broglia, M., and Sedano, F.: Advance report on forest fires in Europe, Middle East and North Africa 2024, Publications Office of the European Union, https://doi.org/10.2760/1264626, 2025.
Santos, F. C., Chaves, F. M., Negri, R. G., and Massi, K. G.: Fires in Pantanal: The link to Agriculture, Conversions in Cerrado, and Hydrological Changes, Wetlands, 44, 75, https://doi.org/10.1007/s13157-024-01832-5, 2024.
Santos, J. L., Yanai, A. M., Graça, P. M. L. A., Correia, F. W. S., and Fearnside, P. M.: Amazon deforestation: simulated impact of Brazil's proposed BR-319 highway project, Environ. Monit. Assess., 195, 1217, https://doi.org/10.1007/s10661-023-11820-7, 2023.
Schleicher, J., Schaafsma, M., Burgess, N. D., Sandbrook, C., Danks, F., Cowie, C., and Vira, B.: Poorer without It? The Neglected Role of the Natural Environment in Poverty and Wellbeing, Sustainable Development, 26, 83–98, https://doi.org/10.1002/sd.1692, 2018.
Schroeder, W., Prins, E., Giglio, L., Csiszar, I., Schmidt, C., Morisette, J., and Morton, D.: Validation of GOES and MODIS active fire detection products using ASTER and ETM+ data, Remote Sens. Environ., 112, 2711–2726, https://doi.org/10.1016/j.rse.2008.01.005, 2008.
Sellar, A. A., Jones, C. G., Mulcahy, J. P., Tang, Y., Yool, A., Wiltshire, A., O'Connor, F. M., Stringer, M., Hill, R., Palmieri, J., Woodward, S., de Mora, L., Kuhlbrodt, T., Rumbold, S. T., Kelley, D. I., Ellis, R., Johnson, C. E., Walton, J., Abraham, N. L., Andrews, M. B., Andrews, T., Archibald, A. T., Berthou, S., Burke, E., Blockley, E., Carslaw, K., Dalvi, M., Edwards, J., Folberth, G. A., Gedney, N., Griffiths, P. T., Harper, A. B., Hendry, M. A., Hewitt, A. J., Johnson, B., Jones, A., Jones, C. D., Keeble, J., Liddicoat, S., Morgenstern, O., Parker, R. J., Predoi, V., Robertson, E., Siahaan, A., Smith, R. S., Swaminathan, R., Woodhouse, M. T., Zeng, G., and Zerroukat, M.: UKESM1: Description and Evaluation of the U.K. Earth System Model, J. Adv. Model. Earth Sy., 11, 4513–4558, https://doi.org/10.1029/2019MS001739, 2019.
Seneviratne, S. I., Zhang, X., Adnan, M., Badi, W., Dereczynski, C., Di Luca, A., Ghosh, S., Iskandar, I., Kossin, J., Lewis, S., Otto, F., Pinto, I., Satoh, M., Vicente-Serrano, S. M., Wehner, M., and Zhou, B.: Weather and Climate Extreme Events in a Changing Climate, in Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S. L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M. I., Huang, M., Leitzell, K., Lonnoy, E., Matthews, J. B. R., Maycock, T. K., Waterfield, T., Yelekçi, O., Yu, R., and Zhou, B., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1513–1766, https://doi.org/10.1017/9781009157896.013, 2021.
Serrah, M.: After years of wildfires, Algeria tames the flames, https://www.context.news/climate-risks/after-years-of-wildfires-algeria-tames-the-flames (last access: 6 August 2025), Context News, 2024.
Shapiro, A., d'Annunzio, R., Desclée, B., Jungers, Q., Kondjo, H. K., Iyanga, J. M., Gangyo, F. I., Nana, T., Obame, C. V., Milandou, C., Rambaud, P., Sonwa, D. J., Mertens, B., Tchana, E., Khasa, D., Bourgoin, C., Ouissika, C. B., and Kipute, D. D.: Small scale agriculture continues to drive deforestation and degradation in fragmented forests in the Congo Basin (2015–2020), Land Use Policy, 134, 106922, https://doi.org/10.1016/j.landusepol.2023.106922, 2023.
Shapiro, A. C., Bernhard, K. P., Zenobi, S., Müller, D., Aguilar-Amuchastegui, N., and d'Annunzio, R.: Proximate Causes of Forest Degradation in the Democratic Republic of the Congo Vary in Space and Time, Front. Conserv. Sci., 2, 690562, https://doi.org/10.3389/fcosc.2021.690562, 2021.
Shepherd, G., Warner, K., and Hogarth, N.: Forests and poverty: how has our understanding of the relationship been changed by experience?, Int. Forest. Rev., 22, 29–43, https://doi.org/10.1505/146554820829523907, 2020.
Shmuel, A., Lazebnik, T., Glickman, O., Heifetz, E., and Price, C.: Global lightning-ignited wildfires prediction and climate change projections based on explainable machine learning models, Sci. Rep., 15, 7898, https://doi.org/10.1038/s41598-025-92171-w, 2025.
Shradha, K. and Nitu, R.: Rampant forest fires ravaging Nepal, Governance Monitoring Centre Nepal, https://gmcnepal.org/publications/climate-window/rampant-forest-fires-ravaging-nepal/ (last access: 6 August 2025), 2024.
Shyamsundar, P., Springer, N. P., Tallis, H., Polasky, S., Jat, M. L., Sidhu, H. S., Krishnapriya, P. P., Skiba, N., Ginn, W., Ahuja, V., Cummins, J., Datta, I., Dholakia, H. H., Dixon, J., Gerard, B., Gupta, R., Hellmann, J., Jadhav, A., Jat, H. S., Keil, A., Ladha, J. K., Lopez-Ridaura, S., Nandrajog, S. P., Paul, S., Ritter, A., Sharma, P. C., Singh, R., Singh, D., and Somanathan, R.: Fields on fire: Alternatives to crop residue burning in India, Science, 365, 536–538, https://doi.org/10.1126/science.aaw4085, 2019.
Silva, P. S., Geirinhas, J. L., Lapere, R., Laura, W., Cassain, D., Alegría, A., and Campbell, J.: Heatwaves and fire in Pantanal: Historical and future perspectives from CORDEX-CORE, J. Environ. Manage., 323, 116193, https://doi.org/10.1016/j.jenvman.2022.116193, 2022.
Silveira, M. V. F., Petri, C. A., Broggio, I. S., Chagas, G. O., Macul, M. S., Leite, C. C. S. S., Ferrari, E. M. M., Amim, C. G. V., Freitas, A. L. R., Motta, A. Z. V., Carvalho, L. M. E., Silva Junior, C. H. L., Anderson, L. O., and Aragão, L. E. O. C.: Drivers of Fire Anomalies in the Brazilian Amazon: Lessons Learned from the 2019 Fire Crisis, Land, 9, 516, https://doi.org/10.3390/land9120516, 2020.
Silveira, M. V. F., Silva-Junior, C. H. L., Anderson, L. O., and Aragão, L. E. O. C.: Amazon fires in the 21st century: The year of 2020 in evidence, Global Ecol. Biogeogr., 31, 2026–2040, https://doi.org/10.1111/geb.13577, 2022.
SitRep: No. 77 – Informe de Situación Nacional. Incendios Forestales, https://www.gestionderiesgos.gob.ec/wp-content/uploads/2024/11/SitRep-No.-77-Incendios-Forestales-01012024-al-21112024.pdf (last access: 6 August 2025), 2024.
Skakun, R., Castilla, G., and Jain, P.: Mapping wildfires in Canada with Landsat MSS to extend the National Burned Area Composite (NBAC) time series back to 1972, Int. J. Wildland Fire, 33, https://doi.org/10.1071/WF24138, 2024.
Smith, S., Geden, O., Nemet, G., Gidden, M., Lamb, W., Powis, C., Bellamy, R., Callaghan, M., Cowie, A., Cox, E., Fuss, S., Gasser, T., Grassi, G., Greene, J., Lueck, S., Mohan, A., Müller-Hansen, F., Peters, G., Pratama, Y., Repke, T., Riahi, K., Schenuit, F., Steinhauser, J., Strefler, J., Valenzuela, J., and Minx, J.: State of Carbon Dioxide Removal – 1st Edition, OSF [data set], https://doi.org/10.17605/OSF.IO/W3B4Z, 2023.
Sofiev, M., Ermakova, T., and Vankevich, R.: Evaluation of the smoke-injection height from wild-land fires using remote-sensing data, Atmos. Chem. Phys., 12, 1995–2006, https://doi.org/10.5194/acp-12-1995-2012, 2012.
Song, Z., Zhang, L., Tian, C., Fu, Q., Shen, Z., Zhang, R., Liu, D., and Cui, S.: Development of a high-spatial-resolution annual emission inventory of greenhouse gases from open straw burning in Northeast China from 2001 to 2020, Atmos. Chem. Phys., 24, 13101–13113, https://doi.org/10.5194/acp-24-13101-2024, 2024.
Soro, T. D., N'Dri, B., Dembélé, B., Kpre, A. J. N., Kouassi, K., Kpangba, K., Kouamé, Y., and Koné, M.: Périodes des feux de végétation en fonction des secteurs phytogéographiques de Côte d'Ivoire: approche par télédétection et perceptions des populations, Research Journal of Environmental and Earth Sciences, 6, 8–17, 2020.
Soro, T. D., Koné, M., N'Dri, A. B., and N'Datchoh, E. T.: Identified main fire hotspots and seasons in Côte d'Ivoire (West Africa) using MODIS fire data, South African Journal of Science, 117, https://doi.org/10.17159/sajs.2021/7659, 2021.
Spuler, F. and Wessel, J.: State of Wildfires 2024–2025: JULES-ES bias adjustment, Zenodo [code], https://doi.org/10.5281/ZENODO.15792440, 2025.
Stalhandske, Z., Steinmann, C. B., Meiler, S., Sauer, I. J., Vogt, T., Bresch, D. N., and Kropf, C. M.: Global multi-hazard risk assessment in a changing climate, Sci. Rep., 14, 5875, https://doi.org/10.1038/s41598-024-55775-2, 2024.
Steinmann, C. B.: carmensteinmann/State-of-Wildfires_2024–2025_CLIMADA: State-of-Wildfires_2024–2025 CLIMADA v0.1.0, Zenodo [code], https://doi.org/10.5281/zenodo.15831766, 2025.
Steinmann, C. B., Meier, S., Jones, M., Koh, J., Kropf, C., Bresch, D. N., and Hantson, S.: State of Wildfires 2024–2025: Regional Summaries of Asset Exposure and Population Exposure to Burned Area by Continent, Biome, Country, and Administrative Region (2025.0), Zenodo [data set], https://doi.org/10.5281/ZENODO.15755007, 2025.
Stephens, S. L., McIver, J. D., Boerner, R. E. J., Fettig, C. J., Fontaine, J. B., Hartsough, B. R., Kennedy, P. L., and Schwilk, D. W.: The Effects of Forest Fuel-Reduction Treatments in the United States, BioScience, 62, 549–560, https://doi.org/10.1525/bio.2012.62.6.6, 2012.
Stott, P. A., Stone, D. A., and Allen, M. R.: Human contribution to the European heatwave of 2003, Nature, 432, 610–614, https://doi.org/10.1038/nature03089, 2004.
Sulla-Menashe, D., Gray, J. M., Abercrombie, S. P., and Friedl, M. A.: Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product, Remote Sens. Environ., 222, 183–194, https://doi.org/10.1016/j.rse.2018.12.013, 2019.
Swain, D.: As extreme California precipitation dipole persists, a high-end offshore wind/fire weather event may unfold in SoCal this week, https://weatherwest.com/archives/43171 (last access: 6 August 2025), Weather West, 2025.
Swain, D. L., Langenbrunner, B., Neelin, J. D., and Hall, A.: Increasing precipitation volatility in twenty-first-century California, Nat. Clim. Change, 8, 427–433, https://doi.org/10.1038/s41558-018-0140-y, 2018.
Swain, D. L., Abatzoglou, J. T., Kolden, C., Shive, K., Kalashnikov, D. A., Singh, D., and Smith, E.: Climate change is narrowing and shifting prescribed fire windows in western United States, Commun. Earth Environ., 4, 340, https://doi.org/10.1038/s43247-023-00993-1, 2023.
Swain, D. L., Prein, A. F., Abatzoglou, J. T., Albano, C. M., Brunner, M., Diffenbaugh, N. S., Singh, D., Skinner, C. B., and Touma, D.: Hydroclimate volatility on a warming Earth, Nat. Rev. Earth Environ., 6, 35–50, https://doi.org/10.1038/s43017-024-00624-z, 2025a.
Swain, D. L., Abatzoglou, J. T., Albano, C. M., Brunner, M. I., Diffenbaugh, N. S., Kolden, C., Prein, A. F., Singh, D., Skinner, C. B., Swetnam, T. W., and Touma, D.: Increasing Hydroclimatic Whiplash Can Amplify Wildfire Risk in a Warming Climate, Glob. Change Biol., 31, e70075, https://doi.org/10.1111/gcb.70075, 2025b.
Swart, N. C., Cole, J. N. S., Kharin, V. V., Lazare, M., Scinocca, J. F., Gillett, N. P., Anstey, J., Arora, V., Christian, J. R., Hanna, S., Jiao, Y., Lee, W. G., Majaess, F., Saenko, O. A., Seiler, C., Seinen, C., Shao, A., Sigmond, M., Solheim, L., von Salzen, K., Yang, D., and Winter, B.: The Canadian Earth System Model version 5 (CanESM5.0.3), Geosci. Model Dev., 12, 4823–4873, https://doi.org/10.5194/gmd-12-4823-2019, 2019.
Tang, W., Llort, J., Weis, J., Perron, M. M. G., Basart, S., Li, Z., Sathyendranath, S., Jackson, T., Sanz Rodriguez, E., Proemse, B. C., Bowie, A. R., Schallenberg, C., Strutton, P. G., Matear, R., and Cassar, N.: Widespread phytoplankton blooms triggered by 2019–2020 Australian wildfires, Nature, 597, 370–375, https://doi.org/10.1038/s41586-021-03805-8, 2021.
Tang, Y., Rumbold, S., Ellis, R., Kelley, D., Mulcahy, J., Sellar, A., Walton, J., and Jones, C.: MOHC UKESM1.0-LL model output prepared for CMIP6 CMIP, World Data Center for Climate (WDCC) at DKRZ [data set], https://www.wdc-climate.de/ui/entry?acronym=C6_4662099 last access: 6 August 2025), 2019.
Tavakoli Hafshejani, M., Nasrollahzadeh, M., and Mirkhani, V.: Better preparation for Iran's forest fires, Science, 377, 379–379, https://doi.org/10.1126/science.add5194, 2022.
Terrill, M.: Measuring the supply chain impact of the LA fires, ASU, https://news.asu.edu/20250121-business-and-entrepreneurship-measuring-supply-chain-impact-la-fires (last access: 6 August 2025), 2025.
Texas House of Representatives: Texas House of Representatives Investigative Committee on the Panhandle Wildfires, https://www.house.texas.gov/pdfs/committees/reports/interim/88interim/House-Interim-Committee-on-The-Panhandle-Wildfires-Report.pdf (last access: 6 August 2025), 2024.
Teymoor Seydi, S., Abatzoglou, J. T., Jones, M. W., Kolden, C. A., Filippelli, G., Hurteau, M. D., AghaKouchak, A., Luce, C. H., Miao, C., and Sadegh, M.: Increasing global human exposure to wildland fires despite declining burned area, Science, 389, 826–829, https://doi.org/10.1126/science.adu6408, 2025.
The Arab Weekly: After years of wildfires, Algeria tames the flames, AW, https://thearabweekly.com/after-years-wildfires-algeria-tames-flames (last access: 6 August 2025), 2024.
The Nation: Turkey wildfire toll hits 15 as experts flag faulty wires, The Nation, https://www.nation.com.pk/25-Jun-2024/turkey-wildfire-toll-hits-15-as-experts-flag-faulty-wires (last access: 6 August 2025), 2024.
Thiem, H.: Unusual fire risk across the Northeast in fall of 2024, https://www.climate.gov/news-features/event-tracker/unusual-fire-risk-across-northeast-fall-2024 (last access: 6 August 2025), NOAA, 2024.
Tomshin, O. and Solovyev, V.: Features of the Extreme Fire Season of 2021 in Yakutia (Eastern Siberia) and Heavy Air Pollution Caused by Biomass Burning, Remote Sensing, 14, 4980, https://doi.org/10.3390/rs14194980, 2022.
Toreti, A., Bavera, D., Acosta, N. J., Acquafresca, L., Azas, K., Barbosa, P., De, J. A., Ficchi, A., Fioravanti, G., Grimaldi, S., Hrast, E. A., Magni, D., Mazzeschi, M., Mccormick, N., Salamon, P., Santos, N. S., and Volpi, D.: Global Drought Overview September 2024, Publications Office of the European Union, Luxembourg, JRC139423, https://doi.org/10.2760/7511271, 2024.
Torres-Vázquez, M. Á., Herrera, S., Gincheva, A., Halifa-Marín, A., Cavicchia, L., Di Giuseppe, F., Montávez, J. P., and Turco, M.: Enhancing seasonal fire predictions with hybrid dynamical and random forest models, npj Nat. Hazards, 2, 1–10, https://doi.org/10.1038/s44304-025-00069-4, 2025a.
Torres-Vázquez, M. Á., Di Giuseppe, F., Moreno-Torreira, A., Gincheva, A., Jerez, S., and Turco, M.: Large increase in extreme fire weather synchronicity over Europe, Environ. Res. Lett., 20, 024045, https://doi.org/10.1088/1748-9326/ada8c2, 2025b.
Trigg, S., Dempewolf, J., Elgamri, M., Justice, C., and Gorsevski, V.: Fire and land use change heighten tensions between pastoral nomads and mechanized farmers in Kordofan and White Nile States, Sudan, J. Land Use Sci., 7, 275–288, https://doi.org/10.1080/1747423X.2011.565372, 2011.
Turco, M., Jones, M. W., and Di Giuseppe, F.: State of Wildfires 2024–2025: Anomalies in Extreme Fire Weather Days by Continent, Biome, Country, and Administrative Region, Zenodo [data set], https://doi.org/10.5281/zenodo.15538595, 2025.
Tyukavina, A., Hansen, M. C., Potapov, P., Parker, D., Okpa, C., Stehman, S. V., Kommareddy, I., and Turubanova, S.: Congo Basin forest loss dominated by increasing smallholder clearing, Sci. Adv., 4, eaat2993, https://doi.org/10.1126/sciadv.aat2993, 2018.
UK Environment Agency: Water situation: May 2025 summary, https://www.gov.uk/government/publications/water-situation-national-monthly-reports-for-england-2025/water-situation-may-2025-summary (last access: 6 August 2025), 2025.
United Nations Environment Programme (UNEP): Spreading like Wildfire: The Rising Threat of Extraordinary Landscape Fires, https://www.unep.org/resources/report/spreading-wildfire-rising-threat-extraordinary-landscape-fires (last access 6 August 2025), 2022.
United Nations Population Division: World Population Prospects 2023, https://population.un.org/wpp/ (last access: 4 July 2025), 2023.
United States Geological Survey (USGS): Debris flow in the 2025 Eaton Fire burn area, California, https://www.usgs.gov/media/images/debris-flow-2025-eaton-fire-burn-area-california (last access: 6 August 2025), 2025a.
United States Geological Survey (USGS): Greater Los Angeles Wildfires – January 2025, https://www.usgs.gov/media/before-after/greater-los-angeles-wildfires-january-2025 (last access: 6 August 2025), 2025b.
Urban Land Institute: Project Recovery: Rebuilding Los Angeles after the January 2025 Wildfires, https://knowledge.uli.org/en/reports/research-reports/2025/project-recovery-rebuilding-los-angeles-after-the-january-2025-wildfires (last access: 6 August 2025), 2025.
US Environmental Protection Agency (US EPA): Air Quality System (AQS), https://www.epa.gov/aqs (last access: 6 August 2025), 2025.
US Forest Service: 2024 Wildfire Year: Record-breaking Intensity and Resilience, USDA Forest Service Pacific Northwest Region, https://www.fs.usda.gov/sites/nfs/files/legacy-media/r06/Updated%202024%20Fire%20Summary%2012032024.pdf (last access: 6 August 2025), 2024.
Valor Económico: Aumento dos custos operacionais cria barreiras no negócio do carvão vegetal, Valor Económico, https://valoreconomico.co.ao/artigo/aumento-dos-custos-operacionais-cria-barreiras-no-negocio-do-carvao-vegetal (last access: 6 August 2025), 2024.
Van Dijk, A. I. J. M., Beck, H. E., Boergens, E., de Jeu, R. A. M., Dorigo, W. A., Edirisinghe, E., Forootan, E., Guo, E., Güntner, A., Hou, J., Mehrnegar, N., Mo, S., Preimesberger, W., Rahman, J., and Rozas Larraondo, P.: Global Water Monitor 2024, Summary Report, https://www.globalwater.online/globalwater/report/index.html (last access: 6 August 2025), 2025.
Van Wagner, C. E.: Development and structure of the Canadian Forest Fire Weather Index System, Forestry Technical Report 35, Canadian Forestry Service, Ottowa, https://cfs.nrcan.gc.ca/pubwarehouse/pdfs/19927.pdf (last access: 6 August 2025), 1987.
Vautard, R., Yiou, P., Otto, F., Stott, P., Christidis, N., van Oldenborgh, G. J., and Schaller, N.: Attribution of human-induced dynamical and thermodynamical contributions in extreme weather events, Environ. Res. Lett., 11, 114009, https://doi.org/10.1088/1748-9326/11/11/114009, 2016.
Verhegghen, A., Eva, H., Ceccherini, G., Achard, F., Gond, V., Gourlet-Fleury, S., and Cerutti, P.: The Potential of Sentinel Satellites for Burnt Area Mapping and Monitoring in the Congo Basin Forests, Remote Sensing, 8, 986, https://doi.org/10.3390/rs8120986, 2016.
Verhoeven, E. M., Murray, B. R., Dickman, C. R., Wardle, G. M., and Greenville, A. C.: Fire and rain are one: extreme rainfall events predict wildfire extent in an arid grassland, Int. J. Wildland Fire, 702–711, https://doi.org/10.1071/WF19087, 2020.
Viana, C. R. S., dos Santos, M. C., Muniz, C. C., Filho, M. d S., Ignácio, A. R. A., Vitorino, B. D., da Frota, A. V. B., Bogoni, J. A., Castrillon, S. K. I., Caldas, K. A. dP, da Silva, S. A. A., Rossete, A. N., da Silva, D. J., Iocca, F. A. dS, dos Santos, F. L., Lázaro, W. L., and Oliveira Junior, E. S.: Impactos das Queimadas na Saúde da População de Cáceres, Pantanal, em 10 de Setembro de 2024. Nota Técnica Conjunta No04/2024. Universidade do Estado do Mato Grosso (UNEMAT), https://lipan.com.br/wp-content/uploads/2024/09/NOTA_TECNICA_CONJUNTA_04_20242.pdf (last access: 6 August 2025), 2024.
VisiteHuila: Desflorestação da Região Sul é Alarmante, https://visitehuila.com/en/noticias-eventos/noticias/desflorestacao-regiao-sul-alarmante.html (last access: 6 August 2025), 2024.
Vitolo, C., Di Giuseppe, F., Barnard, C., Coughlan, R., San-Miguel-Ayanz, J., Libertá, G., and Krzeminski, B.: ERA5-based global meteorological wildfire danger maps, Sci. Data, 7, 216, https://doi.org/10.1038/s41597-020-0554-z, 2020.
Wang, Z., Peñuelas, J., Tagesson, T., Smith, W. K., Wu, M., He, W., Sitch, S., and Wang, S.: Evolution of Global Terrestrial Gross Primary Productivity Trend, Ecosyst Health Sustain, 10, https://doi.org/10.34133/ehs.0278, 2024.
Ward, M., Tulloch, A. I. T., Radford, J. Q., Williams, B. A., Reside, A. E., Macdonald, S. L., Mayfield, H. J., Maron, M., Possingham, H. P., Vine, S. J., O'Connor, J. L., Massingham, E. J., Greenville, A. C., Woinarski, J. C. Z., Garnett, S. T., Lintermans, M., Scheele, B. C., Carwardine, J., Nimmo, D. G., Lindenmayer, D. B., Kooyman, R. M., Simmonds, J. S., Sonter, L. J., and Watson, J. E. M.: Impact of 2019–2020 mega-fires on Australian fauna habitat, Nat. Ecol. Evol., 4, 1321–1326, https://doi.org/10.1038/s41559-020-1251-1, 2020.
van der Werf, G. R., Randerson, J. T., Giglio, L., Collatz, G. J., Kasibhatla, P. S., and Arellano Jr., A. F.: Interannual variability in global biomass burning emissions from 1997 to 2004, Atmos. Chem. Phys., 6, 3423–3441, https://doi.org/10.5194/acp-6-3423-2006, 2006.
van der Werf, G. R., Randerson, J. T., Giglio, L., Collatz, G. J., Mu, M., Kasibhatla, P. S., Morton, D. C., DeFries, R. S., Jin, Y., and van Leeuwen, T. T.: Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009), Atmos. Chem. Phys., 10, 11707–11735, https://doi.org/10.5194/acp-10-11707-2010, 2010.
van der Werf, G. R., Randerson, J. T., Giglio, L., van Leeuwen, T. T., Chen, Y., Rogers, B. M., Mu, M., van Marle, M. J. E., Morton, D. C., Collatz, G. J., Yokelson, R. J., and Kasibhatla, P. S.: Global fire emissions estimates during 1997–2016, Earth Syst. Sci. Data, 9, 697–720, https://doi.org/10.5194/essd-9-697-2017, 2017.
Volodymyr, S. and Andiy, T.: Grand fire in the Danube delta biosphere reserve, in: Proceedings of Development of innovation systems: trends, challenges, prospects, 4–7 March 2025, Hamburg, Germany, 44–47, https://www.researchgate.net/publication/389592052_GRAND_FIRE_IN_THE_DANUBE_DELTA_BIOSPHERE_RESERVE (last access: 6 August 2025), 2025.
WHO: WHO global air quality guidelines: particulate matter (PM2.5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide, https://www.who.int/publications/i/item/9789240034228 (last access: 6 August 2025), 2021.
Wiedinmyer, C., Kimura, Y., McDonald-Buller, E. C., Emmons, L. K., Buchholz, R. R., Tang, W., Seto, K., Joseph, M. B., Barsanti, K. C., Carlton, A. G., and Yokelson, R.: The Fire Inventory from NCAR version 2.5: an updated global fire emissions model for climate and chemistry applications, Geosci. Model Dev., 16, 3873–3891, https://doi.org/10.5194/gmd-16-3873-2023, 2023.
Wikipedia: List of California wildfires, https://en.wikipedia.org/wiki/List_of_California_wildfires (last access: 6 August 2025), 2025.
Williams, A. P., Abatzoglou, J. T., Gershunov, A., Guzman-Morales, J., Bishop, D. A., Balch, J. K., and Lettenmaier, D. P.: Observed Impacts of Anthropogenic Climate Change on Wildfire in California, Earth's Future, 7, 892–910, https://doi.org/10.1029/2019EF001210, 2019.
Wimberly, M. C., Wanyama, D., Doughty, R., Peiro, H., and Crowell, S.: Increasing Fire Activity in African Tropical Forests Is Associated With Deforestation and Climate Change, Geophys. Res. Lett., 51, e2023GL106240, https://doi.org/10.1029/2023GL106240, 2024.
Woolcott, O. O.: Los Angeles County in flames: responsibilities on fire, The Lancet Regional Health – Americas, 42, https://doi.org/10.1016/j.lana.2025.101005, 2025.
Wooster, M. J., Roberts, G. J., Giglio, L., Roy, D. P., Freeborn, P. H., Boschetti, L., Justice, C., Ichoku, C., Schroeder, W., Davies, D., Smith, A. M. S., Setzer, A., Csiszar, I., Strydom, T., Frost, P., Zhang, T., Xu, W., de Jong, M. C., Johnston, J. M., Ellison, L., Vadrevu, K., Sparks, A. M., Nguyen, H., McCarty, J., Tanpipat, V., Schmidt, C., and San-Miguel-Ayanz, J.: Satellite remote sensing of active fires: History and current status, applications and future requirements, Remote Sens. Environ., 267, 112694, https://doi.org/10.1016/j.rse.2021.112694, 2021.
Working on Fire: 34 lives, 4 million hectares, billions of rands in damage: SA's deadliest wildfire season, https://workingonfire.org/34-lives-4-million-hectares-billions-of-rands-in-damage-sas-deadliest-wildfire-season/ (last access: 6 August 2025), 2024.
World Bank: Policy Note: Managing Wildfires in a Changing Climate, Washington DC, https://www.profor.info/sites/default/files/PROFOR_ManagingWildfires_2020_final.pdf (last access: 6 August 2025), 2020.
World Bank: Financially Prepared: The Case for Pre-positioned Finance in European Union Member States and Countries under EU Civil Protection Mechanism, Washington DC, https://civil-protection-knowledge-network.europa.eu/system/files/2024-05/Financially%20Prepared%20-The%20Case%20for%20Pre-positioned%20Finance.pdf (last access: 6 August 2025), 2024a.
World Bank: Priorizar a agricultura angolana para desbloquear a diversificação económica, https://www.worldbank.org/pt/news/feature/2024/03/28/prioritizing-afe-angolan-agriculture-to-unlock-economic-diversification (last access: 6 August 2025), 2024b.
World Bank: Wealth Accounting, World Bank [data set], https://datacatalog.worldbank.org/search/dataset/0042066 (last access: 6 August 2025), 2024c.
World Meteorological Organization (WMO): State of the Global Climate 2024, https://library.wmo.int/idurl/4/69455 (last access: 6 August 2025), 2025.
World Resources Institute: After Record-Breaking Fires, Can Indonesia's New Policies Turn Down the Heat?, https://www.wri.org/insights/after-record-breaking-fires-can-indonesias-new-policies-turn-down-heat (last access: 6 August 2025), 2016.
World Resources Institute: Fires Drove Record-breaking Tropical Forest Loss in 2024, https://gfr.wri.org/latest-analysis-deforestation-trends (last access: 6 August 2025), 2025.
World Wildlife Fund: Technical Note: Early Warning to Mitigate Impacts of Drought in the Pantanal, https://www.wwf.org.br/?89121/Pantanal-may-face-a-historic-water-crisis-in-2024 (last access: 6 August 2025), 2024.
Worldwide Fund for Nature (WWF-Brasil): Com mais de 4 mil focos de fogo em 2024, Roraima vive emergência humanitária, https://www.wwf.org.br/?88320/Com-mais-de-4-mil-focos-de-fogo-em-2024-Roraima-vive-emergencia-humanitaria (last access: 6 August 2025), 2024.
Xu, R., Ye, T., Yue, X., Yang, Z., Yu, W., Zhang, Y., Bell, M. L., Morawska, L., Yu, P., Zhang, Y., Wu, Y., Liu, Y., Johnston, F., Lei, Y., Abramson, M. J., Guo, Y., and Li, S.: Global population exposure to landscape fire air pollution from 2000 to 2019, Nature, 621, 521–529, https://doi.org/10.1038/s41586-023-06398-6, 2023.
Xu, R., Ye, T., Huang, W., Yue, X., Morawska, L., Abramson, M. J., Chen, G., Yu, P., Liu, Y., Yang, Z., Zhang, Y., Wu, Y., Yu, W., Wen, B., Zhang, Y., Hales, S., Lavigne, E., Saldiva, P. H. N., Coelho, M. S. Z. S., Matus, P., Roye, D., Klompmaker, J., Mistry, M., Breitner, S., Zeka, A., Raz, R., Tong, S., Johnston, F. H., Schwartz, J., Gasparrini, A., Guo, Y., and Li, S.: Global, regional, and national mortality burden attributable to air pollution from landscape fires: a health impact assessment study, The Lancet, 404, 2447–2459, https://doi.org/10.1016/S0140-6736(24)02251-7, 2024.
Yonhap News Agency: Death toll from wildfires rises to 31, https://en.yna.co.kr/view/AEN20250402001400315 (last access: 6 August 2025), 2025.
Yukimoto, S., Kawai, H., Koshiro, T., Oshima, N., Yoshida, K., Urakawa, S., Tsujino, H., Deushi, M., Tanaka, T., Hosaka, M., Yabu, S., Yoshimura, H., Shindo, E., Mizuta, R., Obata, A., Adachi, Y., and Ishii, M.: The Meteorological Research Institute Earth System Model Version 2.0, MRI-ESM2.0: Description and Basic Evaluation of the Physical Component, J. Meteorol. Soc. Jpn. Ser. II, 97, 931–965, https://doi.org/10.2151/jmsj.2019-051, 2019.
Zachariah, M., Clarke, B., Vahlberg, M., Pereira Marghidan, C., Singh, R., Sengupta, S., Otto, F., Pinto, I., Mistry, M., Arrighi, J., Gale, S., and Rodriguez, L.: Climate change made the deadly heatwaves that hit millions of highly vulnerable people across large parts of Asia more frequent and extreme, Imperial College London, https://doi.org/10.25561/111274, 2024.
Zargar, A. R.: India's worsening, “severe plus” air pollution forces even more dramatic safety measures, CBS News, https://www.cbsnews.com/news/delhi-air-pollution-smog-severe-plus-india-safety-measures-restrictions/ (last access: 6 August 2025), 2024.
Zhang, Y., Xu, R., Huang, W., Ye, T., Yu, P., Yu, W., Wu, Y., Liu, Y., Yang, Z., Wen, B., Ju, K., Song, J., Abramson, M. J., Johnson, A., Capon, A., Jalaludin, B., Green, D., Lavigne, E., Johnston, F. H., Morgan, G. G., Knibbs, L. D., Zhang, Y., Marks, G., Heyworth, J., Arblaster, J., Guo, Y. L., Morawska, L., Coelho, M. S. Z. S., Saldiva, P. H. N., Matus, P., Bi, P., Hales, S., Hu, W., Phung, D., Guo, Y., and Li, S.: Respiratory risks from wildfire-specific PM2.5 across multiple countries and territories, Nat. Sustain., 8, 474–484, https://doi.org/10.1038/s41893-025-01533-9, 2025.
Zhao, Z., Li, W., Ciais, P., Santoro, M., Cartus, O., Peng, S., Yin, Y., Yue, C., Yang, H., Yu, L., Zhu, L., and Wang, J.: Fire enhances forest degradation within forest edge zones in Africa, Nat. Geosci., 14, 479–483, https://doi.org/10.1038/s41561-021-00763-8, 2021.
Zheng, B., Ciais, P., Chevallier, F., Chuvieco, E., Chen, Y., and Yang, H.: Increasing forest fire emissions despite the decline in global burned area, Sci. Adv., 7, eabh2646, https://doi.org/10.1126/sciadv.abh2646, 2021.
Zheng, B., Ciais, P., Chevallier, F., Yang, H., Canadell, J. G., Chen, Y., Van Der Velde, I. R., Aben, I., Chuvieco, E., Davis, S. J., Deeter, M., Hong, C., Kong, Y., Li, H., Li, H., Lin, X., He, K., and Zhang, Q.: Record-high CO2 emissions from boreal fires in 2021, Science, 379, 912–917, https://doi.org/10.1126/science.ade0805, 2023.
Zubkova, M., Boschetti, L., Abatzoglou, J. T., and Giglio, L.: Changes in Fire Activity in Africa from 2002 to 2016 and Their Potential Drivers, Geophys. Res. Lett., 46, 7643–7653, https://doi.org/10.1029/2019GL083469, 2019.
Zubkova, M., Giglio, L., Boschetti, L., Roy, D., Hall, J., and Humber, M. L.: The NASA Visible Infrared Imaging Radiometer Suite (VIIRS) burned area product – VNP64A1, AGU Fall Meeting Abstracts, B13I-1644, https://ui.adsabs.harvard.edu/abs/2024AGUFMB13I.1644Z (last access: 6 August 2025), 2024.
Short summary
The second State of Wildfires report examines extreme wildfire events from 2024 to early 2025. It analyses key regional events in Southern California, Northeast Amazonia, Pantanal–Chiquitano, and the Congo Basin, assessing their drivers and predictability and attributing them to climate change and land use. Seasonal outlooks and decadal projections are provided. Climate change greatly increased the likelihood of these fires, and without strong mitigation, such events will become more frequent.
The second State of Wildfires report examines extreme wildfire events from 2024 to early 2025....
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